34 Natural Language Processing jobs in Ireland
Machine Learning/AI Research Engineer (Post-doc)
Galway, Connacht
€125000 - €150000 Annually
NLP PEOPLE
Posted 2 days ago
Job Viewed
Job Description
Machine Learning/AI Research Engineer (Post-doc)
This role has been designed as 'Hybrid' with an expectation that you will work on average 2 days per week from an HPE office.
Who We Are:
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world. Our culture thrives on finding new and better ways to accelerate what's next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.
Job Description:
What the project is about:
The COIN Project (Control-Oriented Innovations for Future Ocean Energy Farms) is focused on advancing renewable ocean energy in response to climate goals and growing concerns over energy security and pricing. By developing innovative solutions such as smart connectors for mooring and power, real-time AI-based wave prediction, and digital twin-based health monitoring, the project aims to overcome technical and economic challenges in wave energy. These technologies, supported by a techno-economic optimization framework, are designed to improve the efficiency, reliability, and sustainability of ocean energy systems and support the transition to a cleaner energy future. HPE is contributing its expertise in advanced control (reinforcement learning), forecasting, and digital twin technology to help drive the successful commercialization of this cutting-edge renewable energy solution.
Start/End Date: October 2025 to September 2028 (3 Years)
Location: Galway / Dublin
Mandatory Requirements: PhD degree (or Master's with equivalent research and innovation experience)
What we are looking for:
Hewlett Packard Labs is currently seeking a highly qualified, self-motivated machine learning/AI researcher to be part of a new and growing AI research team in Ireland, to accelerate research towards various applications of digital twins incorporating Machine Learning.
Hewlett Packard Labs is an international research organization with its headquarters and largest facility located in Silicon Valley, California. As the central research organization for HPE, Hewlett Packard Labs' purpose is to deliver breakthrough technologies that provide a competitive advantage for the company, by investing in fundamental areas of interest to HPE and getting the resulting technologies ready for adoption.
The AI Research Lab (AIRL) focuses on applied ML research and applications of interest to HPE and HPE's customers. AIRL's research focuses on Reinforcement Learning applications in sustainability, digital twins, complex scientific applications (like fusion energy), LLMs, trustworthy and responsible AI, and the data foundation infrastructure for AI. Our team is diverse, with a broad range of skill sets and expertise that enables the exploration of innovative ideas that are not possible in monolithic research organizations.
We are seeking highly qualified candidates to join our team as a machine learning research engineer. We are interested in individuals with a background in machine learning, time series analysis, reinforcement learning and Digitial twins. Digital twin applications require a strong engineering background with an aptitude to model physical systems. The ideal candidate demonstrates an entrepreneurial interest in creating new products and technologies with a fluency in system level analysis and design.
We expect all our team members to provide thought leadership and technical influence internally and externally, take innovative ideas and make them real - contributing along the full range from conception, to design, development, implementation, evaluation, and technology transfer. The ideal candidate thrives in an applied research environment, managing risk, and balancing management responsibilities with technical and scientific contributions, and brings such contributions to practice. We expect the successful candidate to collaborate with Hewlett Packard Labs' research teams, with external partners, and to work in alignment with HPE's broader innovation community. Excellent software systems building skills, understanding of state-of-the-art AI/ML platforms and familiarity with technology and applications of digital twins are a significant plus.
The ideal candidate develops and programs integrated software algorithms to structure, analyze and leverage structured and unstructured data in product and systems applications. Can work with large scale computing frameworks, data analysis systems, and modeling environments. Uses machine learning and statistical modeling techniques to improve product/system performance. Formulates descriptive, diagnostic, predictive and prescriptive insights/ algorithms and translates technical specifications into code. Applies, optimizes and scales deep learning technologies and algorithms to give computers the capability to visualize, learn and respond to complex situations. Documents procedures for installation and maintenance, completes programming, performs testing and debugging, defines and monitors performance metrics.
Education and Experience
• PhD degree (or MS with equivalent research and innovation experience) in a relevant discipline (e.g., computer science, software engineering, electrical engineering, math, physics, statistics, mechanical engineering, etc.)
• Proven record of innovation with Deep Learning or with scientific and engineering computation involving the application of Machine Learning.
• Demonstrated experience with innovative solution development, developing proofs-of-concept, first-of-a-kind solutions, and technology transfer.
Technical Skills:
• Strong software development skills in Python and Pytorch are required.
• Strong application experience of Machine Learning with physical systems is required.
• Good understanding of digital twins, use of ML with Digital Twins, applications to sustainability
• A strong science or engineering background with aptitude for system level analysis and modeling.
• Deep understanding of the relevant environment, ecosystem, trends, and literature.
• Excellent research and development skills.
• Ability to innovate, make research contributions, and bring ideas to reality in compelling ways.
• Excellent written and verbal communication skills; mastery in English.
• Demonstrated ability to generate, frame, and carry out leadership research as shown, for example, by papers published in top-tier conferences or journals.
• Extensive knowledge of algorithms and data structures
Preferred Skills:
• Research experience with publications in machine learning/applied statistics/AI.
• Designing, implementing, and managing AI/ML systems.
At HPE, we're:
• Human Rights Campaign's Corporate Equality Index
• Great Place to Work's Best Workplace for Parents 2023
• Fortune 100 Best Companies to Work For 2024
• Ethisphere World's Most Ethical Company 2024
• The Civic 50 Honoree
• JUST Jobs Leader 2024
• Forbes 2024 America's Best Employers For Diversity
• America's Most Just Companies 2024
• Fortune Best Workplaces in Texas 2024
• Bay Area's Best Places to Work 2024
Ready to take the next step?
Open up opportunities with HPE.
Additional Skills:
Accountability, Accountability, Action Planning, Active Learning (Inactive), Active Listening, Bias, Business, Calendar Management, Coaching, Computer Literacy, Creativity, Critical Thinking, Design Thinking, Empathy, Follow-Through, Group Problem Solving, Growth Mindset, Intellectual Curiosity (Inactive), Long Term Planning, Managing Ambiguity, Office Administration, Policy and procedures, Recordkeeping, Risk Assessment, Software Development + 5 more
What We Can Offer You:
Health & Wellbeing
We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.
Personal & Professional Development
We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division.
Unconditional Inclusion
We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.
Let's Stay Connected:
on Instagram to see the latest on people, culture and tech at HPE.
Job:
Administration
Job Level:
N/A
HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.
Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.
. click apply for full job details
This role has been designed as 'Hybrid' with an expectation that you will work on average 2 days per week from an HPE office.
Who We Are:
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world. Our culture thrives on finding new and better ways to accelerate what's next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.
Job Description:
What the project is about:
The COIN Project (Control-Oriented Innovations for Future Ocean Energy Farms) is focused on advancing renewable ocean energy in response to climate goals and growing concerns over energy security and pricing. By developing innovative solutions such as smart connectors for mooring and power, real-time AI-based wave prediction, and digital twin-based health monitoring, the project aims to overcome technical and economic challenges in wave energy. These technologies, supported by a techno-economic optimization framework, are designed to improve the efficiency, reliability, and sustainability of ocean energy systems and support the transition to a cleaner energy future. HPE is contributing its expertise in advanced control (reinforcement learning), forecasting, and digital twin technology to help drive the successful commercialization of this cutting-edge renewable energy solution.
Start/End Date: October 2025 to September 2028 (3 Years)
Location: Galway / Dublin
Mandatory Requirements: PhD degree (or Master's with equivalent research and innovation experience)
What we are looking for:
Hewlett Packard Labs is currently seeking a highly qualified, self-motivated machine learning/AI researcher to be part of a new and growing AI research team in Ireland, to accelerate research towards various applications of digital twins incorporating Machine Learning.
Hewlett Packard Labs is an international research organization with its headquarters and largest facility located in Silicon Valley, California. As the central research organization for HPE, Hewlett Packard Labs' purpose is to deliver breakthrough technologies that provide a competitive advantage for the company, by investing in fundamental areas of interest to HPE and getting the resulting technologies ready for adoption.
The AI Research Lab (AIRL) focuses on applied ML research and applications of interest to HPE and HPE's customers. AIRL's research focuses on Reinforcement Learning applications in sustainability, digital twins, complex scientific applications (like fusion energy), LLMs, trustworthy and responsible AI, and the data foundation infrastructure for AI. Our team is diverse, with a broad range of skill sets and expertise that enables the exploration of innovative ideas that are not possible in monolithic research organizations.
We are seeking highly qualified candidates to join our team as a machine learning research engineer. We are interested in individuals with a background in machine learning, time series analysis, reinforcement learning and Digitial twins. Digital twin applications require a strong engineering background with an aptitude to model physical systems. The ideal candidate demonstrates an entrepreneurial interest in creating new products and technologies with a fluency in system level analysis and design.
We expect all our team members to provide thought leadership and technical influence internally and externally, take innovative ideas and make them real - contributing along the full range from conception, to design, development, implementation, evaluation, and technology transfer. The ideal candidate thrives in an applied research environment, managing risk, and balancing management responsibilities with technical and scientific contributions, and brings such contributions to practice. We expect the successful candidate to collaborate with Hewlett Packard Labs' research teams, with external partners, and to work in alignment with HPE's broader innovation community. Excellent software systems building skills, understanding of state-of-the-art AI/ML platforms and familiarity with technology and applications of digital twins are a significant plus.
The ideal candidate develops and programs integrated software algorithms to structure, analyze and leverage structured and unstructured data in product and systems applications. Can work with large scale computing frameworks, data analysis systems, and modeling environments. Uses machine learning and statistical modeling techniques to improve product/system performance. Formulates descriptive, diagnostic, predictive and prescriptive insights/ algorithms and translates technical specifications into code. Applies, optimizes and scales deep learning technologies and algorithms to give computers the capability to visualize, learn and respond to complex situations. Documents procedures for installation and maintenance, completes programming, performs testing and debugging, defines and monitors performance metrics.
Education and Experience
• PhD degree (or MS with equivalent research and innovation experience) in a relevant discipline (e.g., computer science, software engineering, electrical engineering, math, physics, statistics, mechanical engineering, etc.)
• Proven record of innovation with Deep Learning or with scientific and engineering computation involving the application of Machine Learning.
• Demonstrated experience with innovative solution development, developing proofs-of-concept, first-of-a-kind solutions, and technology transfer.
Technical Skills:
• Strong software development skills in Python and Pytorch are required.
• Strong application experience of Machine Learning with physical systems is required.
• Good understanding of digital twins, use of ML with Digital Twins, applications to sustainability
• A strong science or engineering background with aptitude for system level analysis and modeling.
• Deep understanding of the relevant environment, ecosystem, trends, and literature.
• Excellent research and development skills.
• Ability to innovate, make research contributions, and bring ideas to reality in compelling ways.
• Excellent written and verbal communication skills; mastery in English.
• Demonstrated ability to generate, frame, and carry out leadership research as shown, for example, by papers published in top-tier conferences or journals.
• Extensive knowledge of algorithms and data structures
Preferred Skills:
• Research experience with publications in machine learning/applied statistics/AI.
• Designing, implementing, and managing AI/ML systems.
At HPE, we're:
• Human Rights Campaign's Corporate Equality Index
• Great Place to Work's Best Workplace for Parents 2023
• Fortune 100 Best Companies to Work For 2024
• Ethisphere World's Most Ethical Company 2024
• The Civic 50 Honoree
• JUST Jobs Leader 2024
• Forbes 2024 America's Best Employers For Diversity
• America's Most Just Companies 2024
• Fortune Best Workplaces in Texas 2024
• Bay Area's Best Places to Work 2024
Ready to take the next step?
Open up opportunities with HPE.
Additional Skills:
Accountability, Accountability, Action Planning, Active Learning (Inactive), Active Listening, Bias, Business, Calendar Management, Coaching, Computer Literacy, Creativity, Critical Thinking, Design Thinking, Empathy, Follow-Through, Group Problem Solving, Growth Mindset, Intellectual Curiosity (Inactive), Long Term Planning, Managing Ambiguity, Office Administration, Policy and procedures, Recordkeeping, Risk Assessment, Software Development + 5 more
What We Can Offer You:
Health & Wellbeing
We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.
Personal & Professional Development
We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division.
Unconditional Inclusion
We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.
Let's Stay Connected:
on Instagram to see the latest on people, culture and tech at HPE.
Job:
Administration
Job Level:
N/A
HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.
Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.
. click apply for full job details
This advertiser has chosen not to accept applicants from your region.
0
Machine Learning/AI Research Engineer (Post-doc)
Galway, Connacht
€125000 - €150000 Annually
Hewlett Packard Enterprise Development LP
Posted 22 days ago
Job Viewed
Job Description
Machine Learning/AI Research Engineer (Post-doc) page is loaded Machine Learning/AI Research Engineer (Post-doc) Apply locations Galway, Galway, Ireland Dublin, Dublin, Ireland time type Full time posted on Posted 2 Days Ago job requisition id Machine Learning/AI Research Engineer (Post-doc)This role has been designed as 'Hybrid' with an expectation that you will work on average 2 days per week from an HPE office. Who We Are:
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world.Our culture thrives onfinding new and better ways to accelerate what's next.We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs.We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you.Open up opportunities with HPE.
Job Description:
What the project is about:
The COIN Project (Control-Oriented Innovations for Future Ocean Energy Farms) is focused on advancing renewable ocean energy in response to climate goals and growing concerns over energy security and pricing. By developing innovative solutions such as smart connectors for mooring and power, real-time AI-based wave prediction, and digital twin-based health monitoring, the project aims to overcome technical and economic challenges in wave energy. These technologies, supported by a techno-economic optimization framework, are designed to improve the efficiency, reliability, and sustainability of ocean energy systems and support the transition to a cleaner energy future. HPE is contributing its expertise in advanced control (reinforcement learning), forecasting, and digital twin technology to help drive the successful commercialization of this cutting-edge renewable energy solution.
Start/End Date : October 2025 to September 2028 (3 Years)
Location: Galway / Dublin
Mandatory Requirements: PhD degree (or Master's with equivalent research and innovation experience)
What we are looking for:
Hewlett Packard Labs is currently seeking a highly qualified, self-motivated machine learning/AI researcher to be part of a new and growing AI research team in Ireland, to accelerate research towards various applications of digital twins incorporating Machine Learning.
Hewlett Packard Labs is an international research organization with its headquarters and largest facility located in Silicon Valley, California. As the central research organization for HPE, Hewlett Packard Labs' purpose is to deliver breakthrough technologies that provide a competitive advantage for the company, by investing in fundamental areas of interest to HPE and getting the resulting technologies ready for adoption.
The AI Research Lab (AIRL) focuses on applied ML research and applications of interest to HPE and HPE's customers. AIRL's research focuses on Reinforcement Learning applications in sustainability, digital twins, complex scientific applications (like fusion energy), LLMs, trustworthy and responsible AI, and the data foundation infrastructure for AI. Our team is diverse, with a broad range of skill sets and expertise that enables the exploration of innovative ideas that are not possible in monolithic research organizations.
We are seeking highly qualified candidates to join our team as a machine learning research engineer. We are interested in individuals with a background in machine learning, time series analysis, reinforcement learning and Digitial twins. Digital twin applications require a strong engineering background with an aptitude to model physical systems. The ideal candidate demonstrates an entrepreneurial interest in creating new products and technologies with a fluency in system level analysis and design.
We expect all our team members to provide thought leadership and technical influence internally and externally, take innovative ideas and make them real - contributing along the full range from conception, to design, development, implementation, evaluation, and technology transfer. The ideal candidate thrives in an applied research environment, managing risk, and balancing management responsibilities with technical and scientific contributions, and brings such contributions to practice. We expect the successful candidate to collaborate with Hewlett Packard Labs' research teams, with external partners, and to work in alignment with HPE's broader innovation community. Excellent software systems building skills, understanding of state-of-the-art AI/ML platforms and familiarity with technology and applications of digital twins are a significant plus.
The ideal candidate develops and programs integrated software algorithms to structure, analyze and leverage structured and unstructured data in product and systems applications. Can work with large scale computing frameworks, data analysis systems, and modeling environments. Uses machine learning and statistical modeling techniques to improve product/system performance. Formulates descriptive, diagnostic, predictive and prescriptive insights/ algorithms and translates technical specifications into code. Applies, optimizes and scales deep learning technologies and algorithms to give computers the capability to visualize, learn and respond to complex situations. Documents procedures for installation and maintenance, completes programming, performs testing and debugging, defines and monitors performance metrics.
Education and Experience
Open up opportunities with HPE.
Additional Skills:
Accountability, Accountability, Action Planning, Active Learning (Inactive), Active Listening, Bias, Business, Calendar Management, Coaching, Computer Literacy, Creativity, Critical Thinking, Design Thinking, Empathy, Follow-Through, Group Problem Solving, Growth Mindset, Intellectual Curiosity (Inactive), Long Term Planning, Managing Ambiguity, Office Administration, Policy and procedures, Recordkeeping, Risk Assessment, Software Development + 5 more What We Can Offer You:
Health & Wellbeing
We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.
Personal & Professional Development
We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division.
Unconditional Inclusion
We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.
Let's Stay Connected:
on Instagram to see the latest on people, culture and tech at HPE.
Job:
Administration Job Level:
N/A HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender . click apply for full job details
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world.Our culture thrives onfinding new and better ways to accelerate what's next.We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs.We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you.Open up opportunities with HPE.
Job Description:
What the project is about:
The COIN Project (Control-Oriented Innovations for Future Ocean Energy Farms) is focused on advancing renewable ocean energy in response to climate goals and growing concerns over energy security and pricing. By developing innovative solutions such as smart connectors for mooring and power, real-time AI-based wave prediction, and digital twin-based health monitoring, the project aims to overcome technical and economic challenges in wave energy. These technologies, supported by a techno-economic optimization framework, are designed to improve the efficiency, reliability, and sustainability of ocean energy systems and support the transition to a cleaner energy future. HPE is contributing its expertise in advanced control (reinforcement learning), forecasting, and digital twin technology to help drive the successful commercialization of this cutting-edge renewable energy solution.
Start/End Date : October 2025 to September 2028 (3 Years)
Location: Galway / Dublin
Mandatory Requirements: PhD degree (or Master's with equivalent research and innovation experience)
What we are looking for:
Hewlett Packard Labs is currently seeking a highly qualified, self-motivated machine learning/AI researcher to be part of a new and growing AI research team in Ireland, to accelerate research towards various applications of digital twins incorporating Machine Learning.
Hewlett Packard Labs is an international research organization with its headquarters and largest facility located in Silicon Valley, California. As the central research organization for HPE, Hewlett Packard Labs' purpose is to deliver breakthrough technologies that provide a competitive advantage for the company, by investing in fundamental areas of interest to HPE and getting the resulting technologies ready for adoption.
The AI Research Lab (AIRL) focuses on applied ML research and applications of interest to HPE and HPE's customers. AIRL's research focuses on Reinforcement Learning applications in sustainability, digital twins, complex scientific applications (like fusion energy), LLMs, trustworthy and responsible AI, and the data foundation infrastructure for AI. Our team is diverse, with a broad range of skill sets and expertise that enables the exploration of innovative ideas that are not possible in monolithic research organizations.
We are seeking highly qualified candidates to join our team as a machine learning research engineer. We are interested in individuals with a background in machine learning, time series analysis, reinforcement learning and Digitial twins. Digital twin applications require a strong engineering background with an aptitude to model physical systems. The ideal candidate demonstrates an entrepreneurial interest in creating new products and technologies with a fluency in system level analysis and design.
We expect all our team members to provide thought leadership and technical influence internally and externally, take innovative ideas and make them real - contributing along the full range from conception, to design, development, implementation, evaluation, and technology transfer. The ideal candidate thrives in an applied research environment, managing risk, and balancing management responsibilities with technical and scientific contributions, and brings such contributions to practice. We expect the successful candidate to collaborate with Hewlett Packard Labs' research teams, with external partners, and to work in alignment with HPE's broader innovation community. Excellent software systems building skills, understanding of state-of-the-art AI/ML platforms and familiarity with technology and applications of digital twins are a significant plus.
The ideal candidate develops and programs integrated software algorithms to structure, analyze and leverage structured and unstructured data in product and systems applications. Can work with large scale computing frameworks, data analysis systems, and modeling environments. Uses machine learning and statistical modeling techniques to improve product/system performance. Formulates descriptive, diagnostic, predictive and prescriptive insights/ algorithms and translates technical specifications into code. Applies, optimizes and scales deep learning technologies and algorithms to give computers the capability to visualize, learn and respond to complex situations. Documents procedures for installation and maintenance, completes programming, performs testing and debugging, defines and monitors performance metrics.
Education and Experience
- PhD degree (or MS with equivalent research and innovation experience) in a relevant discipline (e.g., computer science, software engineering, electrical engineering, math, physics, statistics, mechanical engineering, etc.)
- Proven record of innovation with Deep Learning or with scientific and engineering computation involving the application of Machine Learning.
- Demonstrated experience with innovative solution development, developing proofs-of-concept, first-of-a-kind solutions, and technology transfer.
- Strong software development skills in Python and Pytorch are required.
- Strong application experience of Machine Learning with physical systems is required.
- Good understanding of digital twins, use of ML with Digital Twins, applications to sustainability
- A strong science or engineering background with aptitude for system level analysis and modeling.
- Deep understanding of the relevant environment, ecosystem, trends, and literature.
- Excellent research and development skills.
- Ability to innovate, make research contributions, and bring ideas to reality in compelling ways.
- Excellent written and verbal communication skills; mastery in English.
- Demonstrated ability to generate, frame, and carry out leadership research as shown, for example, by papers published in top-tier conferences or journals.
- Extensive knowledge of algorithms and data structures
- Research experience with publications in machine learning/applied statistics/AI.
- Designing, implementing, and managing AI/ML systems.
- Human Rights Campaign's Corporate Equality Index
- Great Place to Work's Best Workplace for Parents 2023
- Fortune 100 Best Companies to Work For 2024
- Ethisphere World's Most Ethical Company 2024
- The Civic 50 Honoree
- JUST Jobs Leader 2024
- Forbes 2024 America's Best Employers For Diversity
- America's Most Just Companies 2024
- Fortune Best Workplaces in Texas 2024
- Bay Area's Best Places to Work 2024
Open up opportunities with HPE.
Additional Skills:
Accountability, Accountability, Action Planning, Active Learning (Inactive), Active Listening, Bias, Business, Calendar Management, Coaching, Computer Literacy, Creativity, Critical Thinking, Design Thinking, Empathy, Follow-Through, Group Problem Solving, Growth Mindset, Intellectual Curiosity (Inactive), Long Term Planning, Managing Ambiguity, Office Administration, Policy and procedures, Recordkeeping, Risk Assessment, Software Development + 5 more What We Can Offer You:
Health & Wellbeing
We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.
Personal & Professional Development
We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division.
Unconditional Inclusion
We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.
Let's Stay Connected:
on Instagram to see the latest on people, culture and tech at HPE.
Job:
Administration Job Level:
N/A HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender . click apply for full job details
This advertiser has chosen not to accept applicants from your region.
1
Data Scientist
Kilkenny, Leinster
Abbott
Posted 4 days ago
Job Viewed
Job Description
Job Description
**Have you ever wanted to make a difference?**
At Abbott, you will play a crucial role to help people live more fully at all stages of their lives. Abbott is a global healthcare leader and our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritional products and branded generic medicines. Our 113,000 colleagues have a daily impact on the life of people in more than 160 countries.
**Abbott Ireland**
In Ireland, Abbott employs over 5,000 people across nine sites. We currently have six manufacturing facilities located in Clonmel, Cootehill, Donegal, Longford and Sligo and a third-party manufacturing management operation in Sligo. Abbott also has commercial, support operations and shared services in Dublin and Galway. We have been making a difference in the lives of Irish people since 1946.
**Diabetes Care Kilkenny**
Our new manufacturing facility in Kilkenny, reflects the growing demand for Abbott's global Diabetes Care products. The facility will be a centre for world-class engineering, quality, medical device manufacturing, and other science-based professionals to produce life-changing technologies that enable people with diabetes to live the best and fullest lives they can. At Abbott in Kilkenny, you can shape your career as you help shape the future of healthcare.
**This is how you can make a difference at Abbott:**
We currently have a requirement for a Data Scientist to join our New Abbott Diabetes Care Kilkenny site. The following is required for this role:
**What You'll Do**
As a key member of our team, you'll:
+ Provide real-time data analysis to support manufacturing operations-helping optimize processes, improve material performance, and enhance yield.
+ Develop documentation that maps critical quality attributes to manufacturing systems, ensuring traceability and compliance.
+ Maintain and enhance our Manufacturing Execution System (POMS), including database schemas, reports, and recipe configurations.
+ Collaborate cross-functionally with QA, Engineering, R&D, Regulatory Affairs, and Purchasing to ensure timely and effective execution of initiatives.
+ Support site-wide reporting, including monthly metrics and quarterly product quality monitoring.
+ Independently explore and analyze large, complex datasets to uncover insights and support investigations.
+ Translate statistical findings into actionable business strategies.
+ Lead projects to advance statistical methodologies and contribute to the site's data strategy.
+ Provide mentorship and consulting on statistical tools and data analysis to junior analysts and engineers.
+ Build automated solutions to streamline reporting and analysis.
+ Communicate complex statistical results in a clear, compelling way to non-technical audiences.
**Education and Experience:**
+ A degree in a quantitative field (e.g., Mathematics, Data Science, Statistics, Biostatistics) or equivalent industry experience.
+ Experience with relational databases (Oracle, MySQL, Microsoft Access, etc.).
+ Proficiency in programming languages such as Python, Java, Scala, C++, and R in Linux/Unix environments.
+ Familiarity with statistical software like JMP or SAS is a plus-training will be provided if needed.
+ Strong foundation in statistical concepts including hypothesis testing, regression analysis, time series, and SPC.
+ A strategic mindset with the ability to apply analytics in a business context.
+ Experience in manufacturing or working with Manufacturing Execution Systems is beneficial but not essential.
+ Excellent communication skills and a collaborative approach to problem-solving.
**What we Offer**
Attractive compensation package that includes competitive pay, as well as benefits such as
+ Family health insurance,
+ Excellent pension scheme
+ Life assurance
+ Career Development
+ Fantastic new facility
+ Growing business plus access to many more benefits.
Connect with us at and on LinkedIn ( , Facebook ( , Instagram ( , X ( and YouTube ( .
Abbott is an equal opportunities employer.
Connect with us at or on LinkedIn at on Facebook at and on Twitter @AbbottNews.
Abbott is an equal opportunities employer.
An Equal Opportunity Employer
Abbot welcomes and encourages diversity in our workforce.
We provide reasonable accommodation to qualified individuals with disabilities.
To request accommodation, please call or email
**Have you ever wanted to make a difference?**
At Abbott, you will play a crucial role to help people live more fully at all stages of their lives. Abbott is a global healthcare leader and our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritional products and branded generic medicines. Our 113,000 colleagues have a daily impact on the life of people in more than 160 countries.
**Abbott Ireland**
In Ireland, Abbott employs over 5,000 people across nine sites. We currently have six manufacturing facilities located in Clonmel, Cootehill, Donegal, Longford and Sligo and a third-party manufacturing management operation in Sligo. Abbott also has commercial, support operations and shared services in Dublin and Galway. We have been making a difference in the lives of Irish people since 1946.
**Diabetes Care Kilkenny**
Our new manufacturing facility in Kilkenny, reflects the growing demand for Abbott's global Diabetes Care products. The facility will be a centre for world-class engineering, quality, medical device manufacturing, and other science-based professionals to produce life-changing technologies that enable people with diabetes to live the best and fullest lives they can. At Abbott in Kilkenny, you can shape your career as you help shape the future of healthcare.
**This is how you can make a difference at Abbott:**
We currently have a requirement for a Data Scientist to join our New Abbott Diabetes Care Kilkenny site. The following is required for this role:
**What You'll Do**
As a key member of our team, you'll:
+ Provide real-time data analysis to support manufacturing operations-helping optimize processes, improve material performance, and enhance yield.
+ Develop documentation that maps critical quality attributes to manufacturing systems, ensuring traceability and compliance.
+ Maintain and enhance our Manufacturing Execution System (POMS), including database schemas, reports, and recipe configurations.
+ Collaborate cross-functionally with QA, Engineering, R&D, Regulatory Affairs, and Purchasing to ensure timely and effective execution of initiatives.
+ Support site-wide reporting, including monthly metrics and quarterly product quality monitoring.
+ Independently explore and analyze large, complex datasets to uncover insights and support investigations.
+ Translate statistical findings into actionable business strategies.
+ Lead projects to advance statistical methodologies and contribute to the site's data strategy.
+ Provide mentorship and consulting on statistical tools and data analysis to junior analysts and engineers.
+ Build automated solutions to streamline reporting and analysis.
+ Communicate complex statistical results in a clear, compelling way to non-technical audiences.
**Education and Experience:**
+ A degree in a quantitative field (e.g., Mathematics, Data Science, Statistics, Biostatistics) or equivalent industry experience.
+ Experience with relational databases (Oracle, MySQL, Microsoft Access, etc.).
+ Proficiency in programming languages such as Python, Java, Scala, C++, and R in Linux/Unix environments.
+ Familiarity with statistical software like JMP or SAS is a plus-training will be provided if needed.
+ Strong foundation in statistical concepts including hypothesis testing, regression analysis, time series, and SPC.
+ A strategic mindset with the ability to apply analytics in a business context.
+ Experience in manufacturing or working with Manufacturing Execution Systems is beneficial but not essential.
+ Excellent communication skills and a collaborative approach to problem-solving.
**What we Offer**
Attractive compensation package that includes competitive pay, as well as benefits such as
+ Family health insurance,
+ Excellent pension scheme
+ Life assurance
+ Career Development
+ Fantastic new facility
+ Growing business plus access to many more benefits.
Connect with us at and on LinkedIn ( , Facebook ( , Instagram ( , X ( and YouTube ( .
Abbott is an equal opportunities employer.
Connect with us at or on LinkedIn at on Facebook at and on Twitter @AbbottNews.
Abbott is an equal opportunities employer.
An Equal Opportunity Employer
Abbot welcomes and encourages diversity in our workforce.
We provide reasonable accommodation to qualified individuals with disabilities.
To request accommodation, please call or email
This advertiser has chosen not to accept applicants from your region.
2
Data Scientist
The Hertz Corporation
Posted 4 days ago
Job Viewed
Job Description
**Job Description:**
Hertz is one of the world's largest global mobility organizations and is currently undergoing a major digital transformation. As the operator of the largest electric vehicle (EV) rental fleet, Hertz is combining its brand strength and global fleet management expertise with cutting-edge technology and innovation to redefine the future of travel, mobility, and the automotive industry. Hertz is committed to becoming a key player in the modern mobility ecosystem, with a focus on electrification, shared mobility, and delivering a digital-first customer experience.
As a Data Scientist at Hertz, you'll have the opportunity to work on high-impact strategic initiatives and solve complex challenges using state-of-the-art technologies. You'll play a critical role in enabling and optimizing our digital, connected fleet, pricing, and ridesharing products. This includes fostering collaboration, building partnerships, co-developing innovative solutions, and delivering actionable insights to leadership to inform strategy, surface opportunities, and highlight potential risks. Your work will help drive data-informed decisions across the organization, fuel operational efficiency and revenue growth, and support our broader vision for the future of mobility.
**What You'll Do:**
+ Build and maintain descriptive, predictive, and prescriptive models to optimize existing processes and uncover market opportunities for new products and services.
+ Define and analyse success and performance metrics for current and upcoming business initiatives, with a strong emphasis on A/B testing.
+ Integrate and curate data from a variety of internal and external sources to develop detailed reports, datasets, and advanced analytics that support data-driven decision-making across the business.
+ Use data visualization tools to clearly communicate insights to technical, non-technical, and senior stakeholders.
+ Break down and solve complex business challenges using quantitative and analytical approaches, identifying patterns and correlations within large, complex datasets.
**What We're Looking For:**
+ Minimum 3 years of hands-on experience in a data science role.
+ Minimum 2 years of experience with cloud-based big data, machine learning, and analytics technologies - preferably with Databricks.
+ Experience working with Google Tag Manager clickstream data is a strong plus.
+ Proficient in SQL, with experience handling both structured and unstructured data.
+ Strong experience in Python or similar scripting languages.
+ Strong interpersonal and communication skills, with experience working in agile/scrum environments.
+ Excellent problem-solving and critical thinking abilities, with a proven track record of identifying root causes and delivering simple, logical solutions to complex problems.
+ Exceptional verbal, written, and presentation skills, with the ability to effectively communicate both technical and non-technical information across all levels of the organization.
+ A bachelor's degree or higher in Computer Science or a quantitative field such as Statistics, Mathematics, Physics, Engineering, or a related field.
**What you Get:**
+ Employee Friends & Family rental discount (40% discount for employee & partner; 30% discount for up to 8 additional family/friends).
+ Hybrid/flexible working arrangements.
+ 22 days holidays on hire rising to 27 days with service.
+ Occupational Pension Scheme with up to 5% company matched contribution.
+ Life Cover payable at 4 times base salary.
+ Profit Share Scheme.
+ Tuition support plus access to compressive online learning platform.
+ 10 days paid study leave & paid exam leave where exams fall during work hours.
+ Income protection for long term illness.
+ Professional membership fees paid in full annually where membership relates directly to role.
+ Bike to Work & Travel Pass schemes.
+ Employee Assistance Programme for employees and family.
+ Occupational Health support.
+ Christmas savings scheme.
Hertz is one of the world's largest global mobility organizations and is currently undergoing a major digital transformation. As the operator of the largest electric vehicle (EV) rental fleet, Hertz is combining its brand strength and global fleet management expertise with cutting-edge technology and innovation to redefine the future of travel, mobility, and the automotive industry. Hertz is committed to becoming a key player in the modern mobility ecosystem, with a focus on electrification, shared mobility, and delivering a digital-first customer experience.
As a Data Scientist at Hertz, you'll have the opportunity to work on high-impact strategic initiatives and solve complex challenges using state-of-the-art technologies. You'll play a critical role in enabling and optimizing our digital, connected fleet, pricing, and ridesharing products. This includes fostering collaboration, building partnerships, co-developing innovative solutions, and delivering actionable insights to leadership to inform strategy, surface opportunities, and highlight potential risks. Your work will help drive data-informed decisions across the organization, fuel operational efficiency and revenue growth, and support our broader vision for the future of mobility.
**What You'll Do:**
+ Build and maintain descriptive, predictive, and prescriptive models to optimize existing processes and uncover market opportunities for new products and services.
+ Define and analyse success and performance metrics for current and upcoming business initiatives, with a strong emphasis on A/B testing.
+ Integrate and curate data from a variety of internal and external sources to develop detailed reports, datasets, and advanced analytics that support data-driven decision-making across the business.
+ Use data visualization tools to clearly communicate insights to technical, non-technical, and senior stakeholders.
+ Break down and solve complex business challenges using quantitative and analytical approaches, identifying patterns and correlations within large, complex datasets.
**What We're Looking For:**
+ Minimum 3 years of hands-on experience in a data science role.
+ Minimum 2 years of experience with cloud-based big data, machine learning, and analytics technologies - preferably with Databricks.
+ Experience working with Google Tag Manager clickstream data is a strong plus.
+ Proficient in SQL, with experience handling both structured and unstructured data.
+ Strong experience in Python or similar scripting languages.
+ Strong interpersonal and communication skills, with experience working in agile/scrum environments.
+ Excellent problem-solving and critical thinking abilities, with a proven track record of identifying root causes and delivering simple, logical solutions to complex problems.
+ Exceptional verbal, written, and presentation skills, with the ability to effectively communicate both technical and non-technical information across all levels of the organization.
+ A bachelor's degree or higher in Computer Science or a quantitative field such as Statistics, Mathematics, Physics, Engineering, or a related field.
**What you Get:**
+ Employee Friends & Family rental discount (40% discount for employee & partner; 30% discount for up to 8 additional family/friends).
+ Hybrid/flexible working arrangements.
+ 22 days holidays on hire rising to 27 days with service.
+ Occupational Pension Scheme with up to 5% company matched contribution.
+ Life Cover payable at 4 times base salary.
+ Profit Share Scheme.
+ Tuition support plus access to compressive online learning platform.
+ 10 days paid study leave & paid exam leave where exams fall during work hours.
+ Income protection for long term illness.
+ Professional membership fees paid in full annually where membership relates directly to role.
+ Bike to Work & Travel Pass schemes.
+ Employee Assistance Programme for employees and family.
+ Occupational Health support.
+ Christmas savings scheme.
This advertiser has chosen not to accept applicants from your region.
3
Data Scientist
Dublin, Leinster
The Hertz Corporation
Posted 4 days ago
Job Viewed
Job Description
**Job Description:**
Hertz is one of the world's largest global mobility organizations and is currently undergoing a major digital transformation. As the operator of the largest electric vehicle (EV) rental fleet, Hertz is combining its brand strength and global fleet management expertise with cutting-edge technology and innovation to redefine the future of travel, mobility, and the automotive industry. Hertz is committed to becoming a key player in the modern mobility ecosystem, with a focus on electrification, shared mobility, and delivering a digital-first customer experience.
As a Data Scientist at Hertz, you'll have the opportunity to work on high-impact strategic initiatives and solve complex challenges using state-of-the-art technologies. You'll play a critical role in enabling and optimizing our digital, connected fleet, pricing, and ridesharing products. This includes fostering collaboration, building partnerships, co-developing innovative solutions, and delivering actionable insights to leadership to inform strategy, surface opportunities, and highlight potential risks. Your work will help drive data-informed decisions across the organization, fuel operational efficiency and revenue growth, and support our broader vision for the future of mobility.
**What You'll Do:**
+ Build and maintain descriptive, predictive, and prescriptive models to optimize existing processes and uncover market opportunities for new products and services.
+ Define and analyse success and performance metrics for current and upcoming business initiatives, with a strong emphasis on A/B testing.
+ Integrate and curate data from a variety of internal and external sources to develop detailed reports, datasets, and advanced analytics that support data-driven decision-making across the business.
+ Use data visualization tools to clearly communicate insights to technical, non-technical, and senior stakeholders.
+ Break down and solve complex business challenges using quantitative and analytical approaches, identifying patterns and correlations within large, complex datasets.
**What We're Looking For:**
+ Minimum 3 years of hands-on experience in a data science role.
+ Minimum 2 years of experience with cloud-based big data, machine learning, and analytics technologies - preferably with Databricks.
+ Experience working with Google Tag Manager clickstream data is a strong plus.
+ Proficient in SQL, with experience handling both structured and unstructured data.
+ Strong experience in Python or similar scripting languages.
+ Strong interpersonal and communication skills, with experience working in agile/scrum environments.
+ Excellent problem-solving and critical thinking abilities, with a proven track record of identifying root causes and delivering simple, logical solutions to complex problems.
+ Exceptional verbal, written, and presentation skills, with the ability to effectively communicate both technical and non-technical information across all levels of the organization.
+ A bachelor's degree or higher in Computer Science or a quantitative field such as Statistics, Mathematics, Physics, Engineering, or a related field.
**What you Get:**
+ Employee Friends & Family rental discount (40% discount for employee & partner; 30% discount for up to 8 additional family/friends).
+ Hybrid/flexible working arrangements.
+ 22 days holidays on hire rising to 27 days with service.
+ Occupational Pension Scheme with up to 5% company matched contribution.
+ Life Cover payable at 4 times base salary.
+ Profit Share Scheme.
+ Tuition support plus access to compressive online learning platform.
+ 10 days paid study leave & paid exam leave where exams fall during work hours.
+ Income protection for long term illness.
+ Professional membership fees paid in full annually where membership relates directly to role.
+ Bike to Work & Travel Pass schemes.
+ Employee Assistance Programme for employees and family.
+ Occupational Health support.
+ Christmas savings scheme.
Hertz is one of the world's largest global mobility organizations and is currently undergoing a major digital transformation. As the operator of the largest electric vehicle (EV) rental fleet, Hertz is combining its brand strength and global fleet management expertise with cutting-edge technology and innovation to redefine the future of travel, mobility, and the automotive industry. Hertz is committed to becoming a key player in the modern mobility ecosystem, with a focus on electrification, shared mobility, and delivering a digital-first customer experience.
As a Data Scientist at Hertz, you'll have the opportunity to work on high-impact strategic initiatives and solve complex challenges using state-of-the-art technologies. You'll play a critical role in enabling and optimizing our digital, connected fleet, pricing, and ridesharing products. This includes fostering collaboration, building partnerships, co-developing innovative solutions, and delivering actionable insights to leadership to inform strategy, surface opportunities, and highlight potential risks. Your work will help drive data-informed decisions across the organization, fuel operational efficiency and revenue growth, and support our broader vision for the future of mobility.
**What You'll Do:**
+ Build and maintain descriptive, predictive, and prescriptive models to optimize existing processes and uncover market opportunities for new products and services.
+ Define and analyse success and performance metrics for current and upcoming business initiatives, with a strong emphasis on A/B testing.
+ Integrate and curate data from a variety of internal and external sources to develop detailed reports, datasets, and advanced analytics that support data-driven decision-making across the business.
+ Use data visualization tools to clearly communicate insights to technical, non-technical, and senior stakeholders.
+ Break down and solve complex business challenges using quantitative and analytical approaches, identifying patterns and correlations within large, complex datasets.
**What We're Looking For:**
+ Minimum 3 years of hands-on experience in a data science role.
+ Minimum 2 years of experience with cloud-based big data, machine learning, and analytics technologies - preferably with Databricks.
+ Experience working with Google Tag Manager clickstream data is a strong plus.
+ Proficient in SQL, with experience handling both structured and unstructured data.
+ Strong experience in Python or similar scripting languages.
+ Strong interpersonal and communication skills, with experience working in agile/scrum environments.
+ Excellent problem-solving and critical thinking abilities, with a proven track record of identifying root causes and delivering simple, logical solutions to complex problems.
+ Exceptional verbal, written, and presentation skills, with the ability to effectively communicate both technical and non-technical information across all levels of the organization.
+ A bachelor's degree or higher in Computer Science or a quantitative field such as Statistics, Mathematics, Physics, Engineering, or a related field.
**What you Get:**
+ Employee Friends & Family rental discount (40% discount for employee & partner; 30% discount for up to 8 additional family/friends).
+ Hybrid/flexible working arrangements.
+ 22 days holidays on hire rising to 27 days with service.
+ Occupational Pension Scheme with up to 5% company matched contribution.
+ Life Cover payable at 4 times base salary.
+ Profit Share Scheme.
+ Tuition support plus access to compressive online learning platform.
+ 10 days paid study leave & paid exam leave where exams fall during work hours.
+ Income protection for long term illness.
+ Professional membership fees paid in full annually where membership relates directly to role.
+ Bike to Work & Travel Pass schemes.
+ Employee Assistance Programme for employees and family.
+ Occupational Health support.
+ Christmas savings scheme.
This advertiser has chosen not to accept applicants from your region.
4
Senior Data Scientist
Dublin, Leinster
UnitedHealth Group
Posted today
Job Viewed
Job Description
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start **Caring. Connecting. Growing together.**
As a Fortune 5 business, we're one of the world's leading healthcare companies. There are no limits here on the resources you'll have or the challenges you'll encounter. We have been supporting global healthcare systems from Ireland and the UK for more than 20 years, building a dynamic and diverse team of more than 2,100 talented individuals. With a continued record of growth and stability, we're on the constant lookout for fresh talent to join our expanding teams.
**Data Scientists** working within the Optum Ireland R&D team supporting Optum Home and Community are developing cutting edge analytical products from one of the world's richest healthcare datasets. You will be at the intersection of business, technology and data science. This role will play a critical part in developing the next generation value-based care analytic engine.
**Working Schedule** :
This is a full-time position with standard working hours of Monday - Friday, 9am - 5pm.
_Careers with Optum offer flexible work arrangements and individuals who live and work in the Republic of Ireland will have the opportunity to split their monthly work hours between our Dublin or Letterkenny office and telecommuting from a home-based office in a hybrid work model._
**Primary Responsibilities:**
+ Be an independent thinker and advocate of data science methods, software engineering, and applications
+ Research, develop and apply new innovative analytics methods and technologies from other domains to healthcare data
+ The ability for critical thinking outside your immediate sphere of responsibility
+ Work with autonomy and in partnership with other Data Scientists, Data Engineers, Software Engineers, and Infrastructure Engineers to find solutions to complex problems
+ Leverage technical / analytical expertise across the enterprise to architect, deploy and oversee analytics and technology solutions
+ Prototype new products and solutions that have the capability to transform the industry
+ Ability to articulate and paint a vision, with strong communication and presentation skills, as well as strengths in translating highly complex concepts, results, models and technologies in ways that can be understood by a variety of audiences
+ Be familiar with the state-of-the-art around big data analytics and associated technologies and techniques
+ Have experience with Commercial environments and/or Products (not just internal focused)
+ Be a leader for a variety of projects including proofs of concept, new product / component development, and reengineering initiatives among others.
+ Work as part of a small team, sharing ideas and contributing to the strategic goals
_You will be rewarded and recognised for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role, as well as providing development for other roles you may be interested in._
**Required Qualifications of a Senior Data Scientist:**
+ Bachelor's Degree in Engineering/Computer/Statistics or equivalent experience
+ Experience in analytics / data science in a business or academic context
+ Demonstrated experience using programming to solve complex technical problems
+ Demonstrated experience accessing data from various data environments
**Required Qualifications of a Senior Data Scientist:**
+ Master's Degree or PhD in a technical field (e.g. computer science, science, engineering, math / stats, physics etc.)
+ Core knowledge of statistics, machine-learning and numerical / computational methods with experience in the application of these methods to business problems
+ Extensive programming experience with Python/Pyspark/Pandas/Polars or other analytics languages
+ Experience working within a software development team and using version control systems such as Git
+ Experience of large-scale distributed computing environments (Hadoop, Hive, Databricks etc)
+ Experience developing analytical solutions on cloud computing platforms i.e. Azure
+ Experience of the US Healthcare sector
**Please note you must currently be eligible to work and remain indefinitely without any restrictions in the country to which you are making an application. Proof will be required to support your application.**
_All telecommuters will be required to adhere to the UnitedHealth Group's Telecommuter Policy._
_At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalised groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission._
_Diversity creates a healthier atmosphere: Optum is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to gender, civil status, family status, sexual orientation, disability, religion, age, race, and membership of the Traveller community, or any other characteristic protected by law. Optum is a drug-free workplace. © 2025 Optum Services (Ireland) Limited. All rights reserved._
#RPO
As a Fortune 5 business, we're one of the world's leading healthcare companies. There are no limits here on the resources you'll have or the challenges you'll encounter. We have been supporting global healthcare systems from Ireland and the UK for more than 20 years, building a dynamic and diverse team of more than 2,100 talented individuals. With a continued record of growth and stability, we're on the constant lookout for fresh talent to join our expanding teams.
**Data Scientists** working within the Optum Ireland R&D team supporting Optum Home and Community are developing cutting edge analytical products from one of the world's richest healthcare datasets. You will be at the intersection of business, technology and data science. This role will play a critical part in developing the next generation value-based care analytic engine.
**Working Schedule** :
This is a full-time position with standard working hours of Monday - Friday, 9am - 5pm.
_Careers with Optum offer flexible work arrangements and individuals who live and work in the Republic of Ireland will have the opportunity to split their monthly work hours between our Dublin or Letterkenny office and telecommuting from a home-based office in a hybrid work model._
**Primary Responsibilities:**
+ Be an independent thinker and advocate of data science methods, software engineering, and applications
+ Research, develop and apply new innovative analytics methods and technologies from other domains to healthcare data
+ The ability for critical thinking outside your immediate sphere of responsibility
+ Work with autonomy and in partnership with other Data Scientists, Data Engineers, Software Engineers, and Infrastructure Engineers to find solutions to complex problems
+ Leverage technical / analytical expertise across the enterprise to architect, deploy and oversee analytics and technology solutions
+ Prototype new products and solutions that have the capability to transform the industry
+ Ability to articulate and paint a vision, with strong communication and presentation skills, as well as strengths in translating highly complex concepts, results, models and technologies in ways that can be understood by a variety of audiences
+ Be familiar with the state-of-the-art around big data analytics and associated technologies and techniques
+ Have experience with Commercial environments and/or Products (not just internal focused)
+ Be a leader for a variety of projects including proofs of concept, new product / component development, and reengineering initiatives among others.
+ Work as part of a small team, sharing ideas and contributing to the strategic goals
_You will be rewarded and recognised for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role, as well as providing development for other roles you may be interested in._
**Required Qualifications of a Senior Data Scientist:**
+ Bachelor's Degree in Engineering/Computer/Statistics or equivalent experience
+ Experience in analytics / data science in a business or academic context
+ Demonstrated experience using programming to solve complex technical problems
+ Demonstrated experience accessing data from various data environments
**Required Qualifications of a Senior Data Scientist:**
+ Master's Degree or PhD in a technical field (e.g. computer science, science, engineering, math / stats, physics etc.)
+ Core knowledge of statistics, machine-learning and numerical / computational methods with experience in the application of these methods to business problems
+ Extensive programming experience with Python/Pyspark/Pandas/Polars or other analytics languages
+ Experience working within a software development team and using version control systems such as Git
+ Experience of large-scale distributed computing environments (Hadoop, Hive, Databricks etc)
+ Experience developing analytical solutions on cloud computing platforms i.e. Azure
+ Experience of the US Healthcare sector
**Please note you must currently be eligible to work and remain indefinitely without any restrictions in the country to which you are making an application. Proof will be required to support your application.**
_All telecommuters will be required to adhere to the UnitedHealth Group's Telecommuter Policy._
_At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalised groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission._
_Diversity creates a healthier atmosphere: Optum is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to gender, civil status, family status, sexual orientation, disability, religion, age, race, and membership of the Traveller community, or any other characteristic protected by law. Optum is a drug-free workplace. © 2025 Optum Services (Ireland) Limited. All rights reserved._
#RPO
This advertiser has chosen not to accept applicants from your region.
5
Data Scientist, Marketing
Dublin, Leinster
Google
Posted today
Job Viewed
Job Description
**Minimum qualifications:**
+ Master's degree or equivalent in a quantitative discipline such as Math, Economics, Statistics, Engineering, Sciences, or equivalent practical experience.
+ 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
+ Experience working with marketing and media data and transformations required for analytics.
**Preferred qualifications:**
+ Experience delivering marketing mix modeling and Geo-Experiments end-to-end.
+ Understanding of Bayesian approaches and modeling frameworks.
+ Proven ability to generate practical solutions for marketing analytics problems and use results to drive business change in partnership with cross-functional stakeholders.
Find the user. Find the magic. Connect the two. At its core, marketing at Google starts with the user and ends with technology, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems - from the everyday to the epic, from the mundane to the monumental. And, we approach marketing in a way that only Google can - break the rules, redefine the medium, make the user the hero, and ultimately let the technology speak for itself.
As a Business Data Scientist in the Marketing team, you will support our team by delivering pieces of project work including supporting the implementation of data science solutions, supporting the improvement of data pipelines, or helping our team develop evaluation metrics that provide insights to the business. Specifically, as a Marketing Mix Modeling (MMM) specialist you will play a technical role in driving all things media, marketing, analytics, and partnering with internal teams to evaluate initiatives. Using first-party and third-party data sources, you will create innovative solutions to demonstrate the effectiveness of Google's media investment. At Google-scale, this implies working on our industry's toughest issues. Regardless of geographic location, the role will maintain a global scope and requires working with teams operating across regions and marketing entities.
**Responsibilities:**
+ Provide support in media strategy, measurement, and optimization that requires expertise in advanced analytics work, with special focus on Marketing Mix Models (MMMs).
+ Partner with internal teams in advanced analytics work including experimentation, measurement, and modeling.
+ Identify patterns and behaviors that are effective predictors of performance and critical drivers for a successful media plan.
+ Deliver customer-centric, data-driven approach, based on a people-based marketing strategy to build, segment, and test audiences for best business results.
+ Develop evaluation frameworks for large-scale models, new metrics, and investigate anomalies. Frame and solve ambiguous problems by scoping technical priorities and innovating on statistical methods.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:
+ Master's degree or equivalent in a quantitative discipline such as Math, Economics, Statistics, Engineering, Sciences, or equivalent practical experience.
+ 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
+ Experience working with marketing and media data and transformations required for analytics.
**Preferred qualifications:**
+ Experience delivering marketing mix modeling and Geo-Experiments end-to-end.
+ Understanding of Bayesian approaches and modeling frameworks.
+ Proven ability to generate practical solutions for marketing analytics problems and use results to drive business change in partnership with cross-functional stakeholders.
Find the user. Find the magic. Connect the two. At its core, marketing at Google starts with the user and ends with technology, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems - from the everyday to the epic, from the mundane to the monumental. And, we approach marketing in a way that only Google can - break the rules, redefine the medium, make the user the hero, and ultimately let the technology speak for itself.
As a Business Data Scientist in the Marketing team, you will support our team by delivering pieces of project work including supporting the implementation of data science solutions, supporting the improvement of data pipelines, or helping our team develop evaluation metrics that provide insights to the business. Specifically, as a Marketing Mix Modeling (MMM) specialist you will play a technical role in driving all things media, marketing, analytics, and partnering with internal teams to evaluate initiatives. Using first-party and third-party data sources, you will create innovative solutions to demonstrate the effectiveness of Google's media investment. At Google-scale, this implies working on our industry's toughest issues. Regardless of geographic location, the role will maintain a global scope and requires working with teams operating across regions and marketing entities.
**Responsibilities:**
+ Provide support in media strategy, measurement, and optimization that requires expertise in advanced analytics work, with special focus on Marketing Mix Models (MMMs).
+ Partner with internal teams in advanced analytics work including experimentation, measurement, and modeling.
+ Identify patterns and behaviors that are effective predictors of performance and critical drivers for a successful media plan.
+ Deliver customer-centric, data-driven approach, based on a people-based marketing strategy to build, segment, and test audiences for best business results.
+ Develop evaluation frameworks for large-scale models, new metrics, and investigate anomalies. Frame and solve ambiguous problems by scoping technical priorities and innovating on statistical methods.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:
This advertiser has chosen not to accept applicants from your region.
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6
Senior Data Scientist
Dublin, Leinster
UnitedHealth Group
Posted 4 days ago
Job Viewed
Job Description
Optum is a global organisation that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.
**About the Role:**
In healthcare, evolution doesn't just happen. It takes innovation, imagination, and a passion for solving problems in new and better ways. And innovation is taking place at a lightning-fast pace every day at Optum.
As the fastest growing part of the UnitedHealth Group family of businesses, we're expanding our team in Ireland and creating excellent opportunities for those who want greater purpose and more impact in their work. We'll provide the investment, support, and resources to advance your career. You'll provide the talent, ambition, and drive.
We are looking for a Senior Data Scientist/Analyst to help drive a growing Data Science team to develop new analytic products. You will work with other Data Scientists and subject matter experts to conduct and manage outcomes of various analytic studies. As part of this team, you will be empowered to analyze data, create solutions and build production-ready models. Join us! There's never been a better time to do your life's best work
This position will report to the Director Data Analytics in Ireland. This role will support the development of an exciting new product which will form part of the OptumInsight product suite. The position will work in partnership with local analytic leadership in Ireland as part of the broader Optum Ireland ecosystem, while building strong relationships with US-based AI/ML experts.
_Careers with Optum offer flexible work arrangements and individuals who live and work in the Republic of Ireland will have the opportunity to split their monthly work hours between our Dublin or Letterkenny and telecommuting from a home-based office in a hybrid work model._
**Primary responsibilities:**
- Provide strategic and technical direction aligned to analytic efforts around AI/machine learning
- Optimize deep learning models for performance, scalability and efficiency
- Analyze, review and interpret complex data through the development of case-studies, enabling the data to tell a story
- Build and maintain production-ready machine-learning models
- Identify drivers of patterns / behaviors uncovered in data and use these to explain business trends
- Understanding of business strategy and ability to identify and champion opportunities for data science projects. This includes the ability to communicate technical concepts to non-technical stakeholders and build consensus
- Demonstrated ability to manage multiple priorities and projects, while meeting deadlines
- Contribute to the design and realization of analytical based tools/assets to identify and monitor non-standard claim patterns
- Stay current on internal and external technological advances in AI and advanced analytics that can be applied to the Optum Insight business
- Mentor and provide technical leadership to junior engineers and other team member
- Managing complex data science projects within a cross-functional team
You will be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role, as well as providing development for other roles you may be interested in.
**Required Qualifications:**
- B.S. Degree (or higher) in Computer Science, Artificial Intelligence, Machine Learning, or a related field
- Extensive experience in deep learning, AI or Machine Learning in a principal level or technical leadership role
- Proficiency in AI/ML and deep learning frameworks such us PyTorch
- Knowledge of deep learning architectures
**Preferred Qualifications:**
- Ability to take research whitepapers to production.
- Working with healthcare data ( claims, clinical records, authorization, provider contracts etc)
- Appreciation of ethical and regulatory considerations in data science and willingness to apply them in practice
**Soft Skills:**
- Natural curiosity to learn more, dig into details, and understand the key drivers of emerging trends and challenges
**Please note you must currently be eligible to work and remain indefinitely without any restrictions in the country to which you are making an application. Proof will be required to support your application.**
All telecommuters will be required to adhere to the UnitedHealth Group's Telecommuter Policy.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalised groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
Diversity creates a healthier atmosphere: Optum is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to gender, civil status, family status, sexual orientation, disability, religion, age, race, and membership of the Traveller community, or any other characteristic protected by law. Optum is a drug-free workplace. © 2025 Optum Services (Ireland) Limited. All rights reserved.
#BBMEMEA
**About the Role:**
In healthcare, evolution doesn't just happen. It takes innovation, imagination, and a passion for solving problems in new and better ways. And innovation is taking place at a lightning-fast pace every day at Optum.
As the fastest growing part of the UnitedHealth Group family of businesses, we're expanding our team in Ireland and creating excellent opportunities for those who want greater purpose and more impact in their work. We'll provide the investment, support, and resources to advance your career. You'll provide the talent, ambition, and drive.
We are looking for a Senior Data Scientist/Analyst to help drive a growing Data Science team to develop new analytic products. You will work with other Data Scientists and subject matter experts to conduct and manage outcomes of various analytic studies. As part of this team, you will be empowered to analyze data, create solutions and build production-ready models. Join us! There's never been a better time to do your life's best work
This position will report to the Director Data Analytics in Ireland. This role will support the development of an exciting new product which will form part of the OptumInsight product suite. The position will work in partnership with local analytic leadership in Ireland as part of the broader Optum Ireland ecosystem, while building strong relationships with US-based AI/ML experts.
_Careers with Optum offer flexible work arrangements and individuals who live and work in the Republic of Ireland will have the opportunity to split their monthly work hours between our Dublin or Letterkenny and telecommuting from a home-based office in a hybrid work model._
**Primary responsibilities:**
- Provide strategic and technical direction aligned to analytic efforts around AI/machine learning
- Optimize deep learning models for performance, scalability and efficiency
- Analyze, review and interpret complex data through the development of case-studies, enabling the data to tell a story
- Build and maintain production-ready machine-learning models
- Identify drivers of patterns / behaviors uncovered in data and use these to explain business trends
- Understanding of business strategy and ability to identify and champion opportunities for data science projects. This includes the ability to communicate technical concepts to non-technical stakeholders and build consensus
- Demonstrated ability to manage multiple priorities and projects, while meeting deadlines
- Contribute to the design and realization of analytical based tools/assets to identify and monitor non-standard claim patterns
- Stay current on internal and external technological advances in AI and advanced analytics that can be applied to the Optum Insight business
- Mentor and provide technical leadership to junior engineers and other team member
- Managing complex data science projects within a cross-functional team
You will be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role, as well as providing development for other roles you may be interested in.
**Required Qualifications:**
- B.S. Degree (or higher) in Computer Science, Artificial Intelligence, Machine Learning, or a related field
- Extensive experience in deep learning, AI or Machine Learning in a principal level or technical leadership role
- Proficiency in AI/ML and deep learning frameworks such us PyTorch
- Knowledge of deep learning architectures
**Preferred Qualifications:**
- Ability to take research whitepapers to production.
- Working with healthcare data ( claims, clinical records, authorization, provider contracts etc)
- Appreciation of ethical and regulatory considerations in data science and willingness to apply them in practice
**Soft Skills:**
- Natural curiosity to learn more, dig into details, and understand the key drivers of emerging trends and challenges
**Please note you must currently be eligible to work and remain indefinitely without any restrictions in the country to which you are making an application. Proof will be required to support your application.**
All telecommuters will be required to adhere to the UnitedHealth Group's Telecommuter Policy.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalised groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
Diversity creates a healthier atmosphere: Optum is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to gender, civil status, family status, sexual orientation, disability, religion, age, race, and membership of the Traveller community, or any other characteristic protected by law. Optum is a drug-free workplace. © 2025 Optum Services (Ireland) Limited. All rights reserved.
#BBMEMEA
This advertiser has chosen not to accept applicants from your region.
7
Principal Data Scientist
Dublin, Leinster
UnitedHealth Group
Posted 4 days ago
Job Viewed
Job Description
Optum is a global organisation that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.
**About the Role:**
In healthcare, evolution doesn't just happen. It takes innovation, imagination, and a passion for solving problems in new and better ways. And innovation is taking place at a lightning-fast pace every day at Optum.
As the fastest growing part of the UnitedHealth Group family of businesses, we're expanding our team in Ireland and creating excellent opportunities for those who want greater purpose and more impact in their work. We'll provide the investment, support, and resources to advance your career. You'll provide the talent, ambition, and drive.
We are looking for a Principal Data Scientist/Analyst to help drive a growing Data Science team to develop new analytic products. You will work with other Data Scientists and subject matter experts to conduct and manage outcomes of various analytic studies. As part of this team, you will be empowered to analyze data, create solutions and build production-ready models. Join us! There's never been a better time to do your life's best work
This position will report to the Director Data Analytics in Ireland. This role will support the development of an exciting new product which will form part of the OptumInsight product suite. The position will work in partnership with local analytic leadership in Ireland as part of the broader Optum Ireland ecosystem, while building strong relationships with US-based AI/ML experts.
_Careers with Optum offer flexible work arrangements and individuals who live and work in the Republic of Ireland will have the opportunity to split their monthly work hours between our Dublin or Letterkenny and telecommuting from a home-based office in a hybrid work model._
**Primary responsibilities:**
- Provide strategic and technical direction aligned to analytic efforts around AI/machine learning
- Optimize deep learning models for performance, scalability and efficiency
- Analyze, review and interpret complex data through the development of case-studies, enabling the data to tell a story
- Build and maintain production-ready machine-learning models
- Identify drivers of patterns / behaviors uncovered in data and use these to explain business trends
- Understanding of business strategy and ability to identify and champion opportunities for data science projects. This includes the ability to communicate technical concepts to non-technical stakeholders and build consensus
- Demonstrated ability to manage multiple priorities and projects, while meeting deadlines
- Contribute to the design and realization of analytical based tools/assets to identify and monitor non-standard claim patterns
- Stay current on internal and external technological advances in AI and advanced analytics that can be applied to the Optum Insight business
- Mentor and provide technical leadership to junior engineers and other team member
- Managing complex data science projects within a cross-functional team
You will be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role, as well as providing development for other roles you may be interested in.
**Required Qualifications:**
- BacDegree (or higher) in Computer Science, Artificial Intelligence, Machine Learning, or a related field
- Extensive experience in deep learning, AI or Machine Learning in a principal level or technical leadership role
- Proficiency in AI/ML and deep learning frameworks such us PyTorch
- Knowledge of deep learning architectures
**Preferred Qualifications:**
- Ability to take research whitepapers to production.
- Working with healthcare data ( claims, clinical records, authorization, provider contracts etc)
- Appreciation of ethical and regulatory considerations in data science and willingness to apply them in practice
**Soft Skills:**
- Natural curiosity to learn more, dig into details, and understand the key drivers of emerging trends and challenges
**Please note you must currently be eligible to work and remain indefinitely without any restrictions in the country to which you are making an application. Proof will be required to support your application.**
All telecommuters will be required to adhere to the UnitedHealth Group's Telecommuter Policy.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalised groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
Diversity creates a healthier atmosphere: Optum is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to gender, civil status, family status, sexual orientation, disability, religion, age, race, and membership of the Traveller community, or any other characteristic protected by law. Optum is a drug-free workplace. © 2025 Optum Services (Ireland) Limited. All rights reserved.
#BBMEMEA
**About the Role:**
In healthcare, evolution doesn't just happen. It takes innovation, imagination, and a passion for solving problems in new and better ways. And innovation is taking place at a lightning-fast pace every day at Optum.
As the fastest growing part of the UnitedHealth Group family of businesses, we're expanding our team in Ireland and creating excellent opportunities for those who want greater purpose and more impact in their work. We'll provide the investment, support, and resources to advance your career. You'll provide the talent, ambition, and drive.
We are looking for a Principal Data Scientist/Analyst to help drive a growing Data Science team to develop new analytic products. You will work with other Data Scientists and subject matter experts to conduct and manage outcomes of various analytic studies. As part of this team, you will be empowered to analyze data, create solutions and build production-ready models. Join us! There's never been a better time to do your life's best work
This position will report to the Director Data Analytics in Ireland. This role will support the development of an exciting new product which will form part of the OptumInsight product suite. The position will work in partnership with local analytic leadership in Ireland as part of the broader Optum Ireland ecosystem, while building strong relationships with US-based AI/ML experts.
_Careers with Optum offer flexible work arrangements and individuals who live and work in the Republic of Ireland will have the opportunity to split their monthly work hours between our Dublin or Letterkenny and telecommuting from a home-based office in a hybrid work model._
**Primary responsibilities:**
- Provide strategic and technical direction aligned to analytic efforts around AI/machine learning
- Optimize deep learning models for performance, scalability and efficiency
- Analyze, review and interpret complex data through the development of case-studies, enabling the data to tell a story
- Build and maintain production-ready machine-learning models
- Identify drivers of patterns / behaviors uncovered in data and use these to explain business trends
- Understanding of business strategy and ability to identify and champion opportunities for data science projects. This includes the ability to communicate technical concepts to non-technical stakeholders and build consensus
- Demonstrated ability to manage multiple priorities and projects, while meeting deadlines
- Contribute to the design and realization of analytical based tools/assets to identify and monitor non-standard claim patterns
- Stay current on internal and external technological advances in AI and advanced analytics that can be applied to the Optum Insight business
- Mentor and provide technical leadership to junior engineers and other team member
- Managing complex data science projects within a cross-functional team
You will be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role, as well as providing development for other roles you may be interested in.
**Required Qualifications:**
- BacDegree (or higher) in Computer Science, Artificial Intelligence, Machine Learning, or a related field
- Extensive experience in deep learning, AI or Machine Learning in a principal level or technical leadership role
- Proficiency in AI/ML and deep learning frameworks such us PyTorch
- Knowledge of deep learning architectures
**Preferred Qualifications:**
- Ability to take research whitepapers to production.
- Working with healthcare data ( claims, clinical records, authorization, provider contracts etc)
- Appreciation of ethical and regulatory considerations in data science and willingness to apply them in practice
**Soft Skills:**
- Natural curiosity to learn more, dig into details, and understand the key drivers of emerging trends and challenges
**Please note you must currently be eligible to work and remain indefinitely without any restrictions in the country to which you are making an application. Proof will be required to support your application.**
All telecommuters will be required to adhere to the UnitedHealth Group's Telecommuter Policy.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalised groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
Diversity creates a healthier atmosphere: Optum is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to gender, civil status, family status, sexual orientation, disability, religion, age, race, and membership of the Traveller community, or any other characteristic protected by law. Optum is a drug-free workplace. © 2025 Optum Services (Ireland) Limited. All rights reserved.
#BBMEMEA
This advertiser has chosen not to accept applicants from your region.
8
Principal Data Scientist
Dublin, Leinster
UnitedHealth Group
Posted 4 days ago
Job Viewed
Job Description
Optum is a global organisation that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.
**About the Role:**
In healthcare, evolution doesn't just happen. It takes innovation, imagination, and a passion for solving problems in new and better ways. And innovation is taking place at a lightning-fast pace every day at Optum.
As the fastest growing part of the UnitedHealth Group family of businesses, we're expanding our team in Ireland and creating excellent opportunities for those who want greater purpose and more impact in their work. We'll provide the investment, support, and resources to advance your career. You'll provide the talent, ambition, and drive.
The **Principal Data Scientist** will partner with Pharmacy business units to build scalable solutions to business problems. The role requires strong collaboration with internal partners to set the analytics direction and to deliver on identified opportunities. The successful candidate will contribute to creating and maintaining clear, strategic vision and a plan for bringing actionable, innovative analytic solutions to fruition.
_Careers with Optum offer flexible work arrangements and individuals who live and work in the Republic of Ireland will have the opportunity to split their monthly work hours between our Dublin or Letterkenny office and telecommuting from a home-based office._
**Primary Responsibilities:**
- Direct and implement analytic activities to support decision-making for UnitedHealthcare Pharmacy.
- Collaborate with different lines of business to understand their analytic needs, propose & deliver business solutions and drive change.
- Solve high visibility & high complexity problems, requiring strong domain knowledge & statistical understanding.
- Provide technical leadership across the department to support various teams with their data science challenges, helping code and review where appropriate.
- Build scalable data solutions for core business functions
- Anticipate customer needs, proactively develop & deliver solutions to meet them, and forecast/predict the impact of business strategies.
- Research, interpret, and analyse diverse and complex data and communicate findings to influence the business direction.
- Utilise a broad range of analytic approaches including predictive analytics, issue detection, trend analysis, and data visualisation to best address the business priorities.
You will be rewarded and recognised for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role, as well as providing development for other roles you may be interested in.
**Required qualifications:**
- Degree Qualified (BA, BS) in relevant field (analytics, mathematics, economics, business, statistics, engineering, or finance) or equivalent experience
- Significant experience in data analytics or data science, ideally with experience working with financial or healthcare-related data (e.g. pharmaceuticals, medical claims).
- Experience working with messy data and imputation techniques. The ideal candidate will be able to identify and address data quality issues and use imputation techniques to fill in missing data where appropriate.
- Proficient in researching, interpreting, and analysing diverse and complex data.
- Extensive data manipulation skills across structured and unstructured sources/repositories such as relational and non-relational databases, CSV's, API's, text, Excel, etc.
- Proficiency in SQL and at least one scripting language such as R or Python.
- Demonstrated effective project ownership, management, drive & delivery
- Stakeholder management experience, dealing with multiple stakeholders, and forming effective partnerships.
- Strong business acumen, with the ability to strategically consult with the business.
- Demonstrated ability to communicate ideas clearly and concisely in writing and orally to individuals and groups.
**Preferred Qualification:**
- Proficiency in a visualisation tool like Excel, Tableau, PowerBI or QlikView/QlikSense etc.
- Experience or knowledge with cloud-based data analytics e.g. (AWS, Azure, Snowflake, Databricks)
- Masters and/or PhD in Finance, Analytics, Economics, Mathematics, Econometrics, or other relevant field of study
- Experience in healthcare industry, especially drug pricing
**Please note you must currently be eligible to work and remain indefinitely without any restrictions in the country to which you are making an application. Proof will be required to support your application.**
All telecommuters will be required to adhere to the UnitedHealth Group's Telecommuter Policy.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalised groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
Diversity creates a healthier atmosphere: Optum is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to gender, civil status, family status, sexual orientation, disability, religion, age, race, and membership of the Traveller community, or any other characteristic protected by law. Optum is a drug-free workplace. © 2025 Optum Services (Ireland) Limited. All rights reserved.
#BBMEMEA
**About the Role:**
In healthcare, evolution doesn't just happen. It takes innovation, imagination, and a passion for solving problems in new and better ways. And innovation is taking place at a lightning-fast pace every day at Optum.
As the fastest growing part of the UnitedHealth Group family of businesses, we're expanding our team in Ireland and creating excellent opportunities for those who want greater purpose and more impact in their work. We'll provide the investment, support, and resources to advance your career. You'll provide the talent, ambition, and drive.
The **Principal Data Scientist** will partner with Pharmacy business units to build scalable solutions to business problems. The role requires strong collaboration with internal partners to set the analytics direction and to deliver on identified opportunities. The successful candidate will contribute to creating and maintaining clear, strategic vision and a plan for bringing actionable, innovative analytic solutions to fruition.
_Careers with Optum offer flexible work arrangements and individuals who live and work in the Republic of Ireland will have the opportunity to split their monthly work hours between our Dublin or Letterkenny office and telecommuting from a home-based office._
**Primary Responsibilities:**
- Direct and implement analytic activities to support decision-making for UnitedHealthcare Pharmacy.
- Collaborate with different lines of business to understand their analytic needs, propose & deliver business solutions and drive change.
- Solve high visibility & high complexity problems, requiring strong domain knowledge & statistical understanding.
- Provide technical leadership across the department to support various teams with their data science challenges, helping code and review where appropriate.
- Build scalable data solutions for core business functions
- Anticipate customer needs, proactively develop & deliver solutions to meet them, and forecast/predict the impact of business strategies.
- Research, interpret, and analyse diverse and complex data and communicate findings to influence the business direction.
- Utilise a broad range of analytic approaches including predictive analytics, issue detection, trend analysis, and data visualisation to best address the business priorities.
You will be rewarded and recognised for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role, as well as providing development for other roles you may be interested in.
**Required qualifications:**
- Degree Qualified (BA, BS) in relevant field (analytics, mathematics, economics, business, statistics, engineering, or finance) or equivalent experience
- Significant experience in data analytics or data science, ideally with experience working with financial or healthcare-related data (e.g. pharmaceuticals, medical claims).
- Experience working with messy data and imputation techniques. The ideal candidate will be able to identify and address data quality issues and use imputation techniques to fill in missing data where appropriate.
- Proficient in researching, interpreting, and analysing diverse and complex data.
- Extensive data manipulation skills across structured and unstructured sources/repositories such as relational and non-relational databases, CSV's, API's, text, Excel, etc.
- Proficiency in SQL and at least one scripting language such as R or Python.
- Demonstrated effective project ownership, management, drive & delivery
- Stakeholder management experience, dealing with multiple stakeholders, and forming effective partnerships.
- Strong business acumen, with the ability to strategically consult with the business.
- Demonstrated ability to communicate ideas clearly and concisely in writing and orally to individuals and groups.
**Preferred Qualification:**
- Proficiency in a visualisation tool like Excel, Tableau, PowerBI or QlikView/QlikSense etc.
- Experience or knowledge with cloud-based data analytics e.g. (AWS, Azure, Snowflake, Databricks)
- Masters and/or PhD in Finance, Analytics, Economics, Mathematics, Econometrics, or other relevant field of study
- Experience in healthcare industry, especially drug pricing
**Please note you must currently be eligible to work and remain indefinitely without any restrictions in the country to which you are making an application. Proof will be required to support your application.**
All telecommuters will be required to adhere to the UnitedHealth Group's Telecommuter Policy.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalised groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
Diversity creates a healthier atmosphere: Optum is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to gender, civil status, family status, sexual orientation, disability, religion, age, race, and membership of the Traveller community, or any other characteristic protected by law. Optum is a drug-free workplace. © 2025 Optum Services (Ireland) Limited. All rights reserved.
#BBMEMEA
This advertiser has chosen not to accept applicants from your region.
9