32 Data Science Positions jobs in Ireland
Data Science Intern
Dublin, Leinster
Eaton Corporation
Posted 2 days ago
Job Viewed
Job Description
**At Eaton Ireland, power isn't just what we manage-it's what we empower.**
With over a century of innovation and a presence in more than 175 countries, we're helping customers tackle their toughest power management challenges with technologies that are smarter, safer, more efficient, and more sustainable.
But what truly sets us apart is our people. As a **Certified Great Place to Work** , Eaton Ireland is recognised for building a culture where trust, inclusion, and purpose thrive. Here, every voice matters, and every idea has the power to shape a better future - for our communities and our planet.
**What you'll do:**
The Centre for Intelligent Power (CIP) is seeking interns to work within its multidisciplinary teams. If you are excited and inspired by the thought of contributing to a more sustainable global future, as well as bringing digitalization solutions and mindset to Eaton's vast portfolio of products and services across multiple industries that our company operates.
In your role as a Data Science Intern, you will learn about the development and deployment of data science and analytics tools across Eaton's product portfolio - from grid-scale insights to home energy management systems.
You will gain experience in building and releasing statistical, artificial intelligence (AI) and machine learning (ML) pipelines in a modern data science stack and will contribute to the ongoing development of Eaton's Brightlayer Analytics platform. This platform provides a set of reusable analytics components which are used throughout the Eaton business to create products for Eaton's customers. You will be involved in the design, development, and testing of edge and cloud-based systems.
You will also gain hands-on experience with the tools and approaches used as part of the design, development, and test processes.
**What you can expect to learn: **
At the end, we expect you to have gained a clear understanding of the end-to-end research, design, and development process for deploying intelligent solutions in Eaton products. You will have directly contributed to this design, experimental development, and test process for at least one proof of concept system. In addition, you will have the opportunity to present your work to the team and senior technical leadership within the company.
**Qualifications:**
Ongoing university studies (BSc/MSc) in Computer Science, Computer Engineering or similar
**Skills:**
+ A basic technical background is required in addition to an interest and background in machine learning and statistical modelling.
+ Familiarity with Python and/or R, and commonly used modelling/visualisation libraries (pandas, numpy, dplyr, ggplot2).
+ Knowledge of foundational data science algorithms.
+ Familiarity with embedded systems and embedded system programming.
+ Knowledge of deep learning libraries such as TensorFlow, Keras, pytorch.
+ Interest in reproducible research and software engineering best practices (coding best practices, version control).
**Soft Skills:**
+ Analytical thinking
+ Problem-solving
+ Communication skills
+ Team collaboration
+ Time management
+ Ownership
We are committed to ensuring equal employment opportunities for job applicants and employees. Our recruitment processes use balanced selection criteria and avoid unlawful discrimination against applicants on the basis of their age, colour, disability, marital status, national origin, gender, gender identity, genetic information, race or racial origin, religion, sexual orientation or any other status protected or required by law.
With over a century of innovation and a presence in more than 175 countries, we're helping customers tackle their toughest power management challenges with technologies that are smarter, safer, more efficient, and more sustainable.
But what truly sets us apart is our people. As a **Certified Great Place to Work** , Eaton Ireland is recognised for building a culture where trust, inclusion, and purpose thrive. Here, every voice matters, and every idea has the power to shape a better future - for our communities and our planet.
**What you'll do:**
The Centre for Intelligent Power (CIP) is seeking interns to work within its multidisciplinary teams. If you are excited and inspired by the thought of contributing to a more sustainable global future, as well as bringing digitalization solutions and mindset to Eaton's vast portfolio of products and services across multiple industries that our company operates.
In your role as a Data Science Intern, you will learn about the development and deployment of data science and analytics tools across Eaton's product portfolio - from grid-scale insights to home energy management systems.
You will gain experience in building and releasing statistical, artificial intelligence (AI) and machine learning (ML) pipelines in a modern data science stack and will contribute to the ongoing development of Eaton's Brightlayer Analytics platform. This platform provides a set of reusable analytics components which are used throughout the Eaton business to create products for Eaton's customers. You will be involved in the design, development, and testing of edge and cloud-based systems.
You will also gain hands-on experience with the tools and approaches used as part of the design, development, and test processes.
**What you can expect to learn: **
At the end, we expect you to have gained a clear understanding of the end-to-end research, design, and development process for deploying intelligent solutions in Eaton products. You will have directly contributed to this design, experimental development, and test process for at least one proof of concept system. In addition, you will have the opportunity to present your work to the team and senior technical leadership within the company.
**Qualifications:**
Ongoing university studies (BSc/MSc) in Computer Science, Computer Engineering or similar
**Skills:**
+ A basic technical background is required in addition to an interest and background in machine learning and statistical modelling.
+ Familiarity with Python and/or R, and commonly used modelling/visualisation libraries (pandas, numpy, dplyr, ggplot2).
+ Knowledge of foundational data science algorithms.
+ Familiarity with embedded systems and embedded system programming.
+ Knowledge of deep learning libraries such as TensorFlow, Keras, pytorch.
+ Interest in reproducible research and software engineering best practices (coding best practices, version control).
**Soft Skills:**
+ Analytical thinking
+ Problem-solving
+ Communication skills
+ Team collaboration
+ Time management
+ Ownership
We are committed to ensuring equal employment opportunities for job applicants and employees. Our recruitment processes use balanced selection criteria and avoid unlawful discrimination against applicants on the basis of their age, colour, disability, marital status, national origin, gender, gender identity, genetic information, race or racial origin, religion, sexual orientation or any other status protected or required by law.
This advertiser has chosen not to accept applicants from your region.
0
Data Science Manager, 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.
+ 7 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
**Preferred qualifications:**
+ 4 years of experience as a people manager within a technical leadership role.
+ Experience working with marketing and media data.
+ Experience delivering multiple concurrent marketing mix models and Geo-Experiments end-to-end.
+ Experience with Cloud products like GCP (Vertex AI) and SageMaker.
+ Understanding of Bayesian approaches and modeling frameworks.
+ 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 Data Science Manager in the Marketing team, you will lead projects, translating business problems into analytical solutions and you will guide your team to implement data science solutions, improve data, develop metrics, and build models for business insights. You also foster knowledge sharing and develop your team's talent.
You will also be a Marketing Mix Modeling (MMM) specialist, who will play a strategic and technical role in driving all things media, marketing, analytics, and partnering with internal teams to evaluate strategic 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 challenges.
**Responsibilities:**
+ Provide support in media strategy, measurement, and optimization that requires expertise in advanced analytics work, with special focus on MMMs.
+ Partner with internal teams in advanced analytics work including data pipelines, 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 ML and LLM models, 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.
+ 7 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
**Preferred qualifications:**
+ 4 years of experience as a people manager within a technical leadership role.
+ Experience working with marketing and media data.
+ Experience delivering multiple concurrent marketing mix models and Geo-Experiments end-to-end.
+ Experience with Cloud products like GCP (Vertex AI) and SageMaker.
+ Understanding of Bayesian approaches and modeling frameworks.
+ 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 Data Science Manager in the Marketing team, you will lead projects, translating business problems into analytical solutions and you will guide your team to implement data science solutions, improve data, develop metrics, and build models for business insights. You also foster knowledge sharing and develop your team's talent.
You will also be a Marketing Mix Modeling (MMM) specialist, who will play a strategic and technical role in driving all things media, marketing, analytics, and partnering with internal teams to evaluate strategic 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 challenges.
**Responsibilities:**
+ Provide support in media strategy, measurement, and optimization that requires expertise in advanced analytics work, with special focus on MMMs.
+ Partner with internal teams in advanced analytics work including data pipelines, 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 ML and LLM models, 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.
1
Data Science / Engineering Manager
Mulhuddart, Leinster
IBM
Posted 7 days ago
Job Viewed
Job Description
**Introduction**
Apptio, an IBM Company, is seeking a Data Science & Engineering Manager to lead a talented, cross-functional team of data scientists and software engineers focused on integrating advanced AI and machine learning capabilities into Apptio's flagship FinOps and Technology Business Management (TBM) products.
In this role, you'll provide both technical leadership and strategic direction, ensuring your team delivers innovative, production-grade AI features that help global enterprises optimize their cloud and IT investments. You'll act as a bridge between data science, software engineering, and product management-driving execution while fostering a collaborative, high-performance culture.
**Your role and responsibilities**
* Lead, mentor, and grow a multidisciplinary team of data scientists, ML engineers, and software developers
* Define technical direction, set priorities, and drive successful execution of AI/ML projects within the product suite
* Collaborate with product and design teams to shape intelligent, customer-focused solutions
* Oversee the full AI/ML development lifecycle, from research and prototyping to scalable deployment and monitoring
* Promote best practices in machine learning engineering, MLOps, and cloud-native software development
* Foster a culture of innovation, ownership, and continuous improvement
* Communicate strategy, progress, and impact to stakeholders across the organization
**Required technical and professional expertise**
* Demonstrated experience in data science, software engineering, or applied ML, with at least 2 years in a technical leadership or management role
* Proven experience delivering AI/ML-powered features in a production environment
* Strong technical foundation in machine learning, data architecture, and software engineering
* Proficiency in programming languages such as Python, Java, or Go, and hands-on experience with cloud platforms (AWS, Azure, or GCP)
* Experience managing cross-functional teams and collaborating across engineering, data, and product functions
* Excellent communication and organizational skills
**Preferred technical and professional experience**
* Experience with FinOps, IT financial management, or tools such as ApptioOne, Cloudability, or Targetprocess
* Familiarity with MLOps tools and practices (e.g., MLflow, SageMaker, Airflow, Kubernetes)
* Exposure to generative AI or large language models (LLMs) in enterprise applications
* Track record of building high-performing teams and scaling data science efforts in a SaaS environment
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Apptio, an IBM Company, is seeking a Data Science & Engineering Manager to lead a talented, cross-functional team of data scientists and software engineers focused on integrating advanced AI and machine learning capabilities into Apptio's flagship FinOps and Technology Business Management (TBM) products.
In this role, you'll provide both technical leadership and strategic direction, ensuring your team delivers innovative, production-grade AI features that help global enterprises optimize their cloud and IT investments. You'll act as a bridge between data science, software engineering, and product management-driving execution while fostering a collaborative, high-performance culture.
**Your role and responsibilities**
* Lead, mentor, and grow a multidisciplinary team of data scientists, ML engineers, and software developers
* Define technical direction, set priorities, and drive successful execution of AI/ML projects within the product suite
* Collaborate with product and design teams to shape intelligent, customer-focused solutions
* Oversee the full AI/ML development lifecycle, from research and prototyping to scalable deployment and monitoring
* Promote best practices in machine learning engineering, MLOps, and cloud-native software development
* Foster a culture of innovation, ownership, and continuous improvement
* Communicate strategy, progress, and impact to stakeholders across the organization
**Required technical and professional expertise**
* Demonstrated experience in data science, software engineering, or applied ML, with at least 2 years in a technical leadership or management role
* Proven experience delivering AI/ML-powered features in a production environment
* Strong technical foundation in machine learning, data architecture, and software engineering
* Proficiency in programming languages such as Python, Java, or Go, and hands-on experience with cloud platforms (AWS, Azure, or GCP)
* Experience managing cross-functional teams and collaborating across engineering, data, and product functions
* Excellent communication and organizational skills
**Preferred technical and professional experience**
* Experience with FinOps, IT financial management, or tools such as ApptioOne, Cloudability, or Targetprocess
* Familiarity with MLOps tools and practices (e.g., MLflow, SageMaker, Airflow, Kubernetes)
* Exposure to generative AI or large language models (LLMs) in enterprise applications
* Track record of building high-performing teams and scaling data science efforts in a SaaS environment
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
This advertiser has chosen not to accept applicants from your region.
2
Pharmacovigilance Data Analysis Manager
Dublin, Leinster
Grifols Shared Services North America, Inc
Posted 28 days ago
Job Viewed
Job Description
Would you like to join an international team working to improve the future of healthcare? Do you want to enhance the lives of millions of people? Grifols is a global healthcare company that since 1909 has been working to improve the health and well-being of people around the world. We are leaders in plasma-derived medicines and transfusion medicine and develop, produce and market innovative medicines, solutions and services in more than 110 countries and regions.
**We believe that diversity adds value to our business, our teams, and our culture. We are committed to equal employment opportunity fostering an inclusive environment where diversity makes us be outstanding.**
Help us lead one of the world's largest pharmaceutical companies. We are a world leader in plasma-derived medicines with a presence in more than 100 countries, and a growing global team of over 20.000 people. That's why we need a _Pharmacovigilance Data Analysis Manager_ like you.
Role Mission: Provide operational support for global pharmacovigilance activities related to Grifols' investigational and marketed products. Ensure high-quality pharmacovigilance deliverables that comply with global regulatory reporting timelines. Manage project implementation and execution of safety systems, including ongoing business support and continuous improvement initiatives. Act as a key liaison with IT system administrators to validate and test system changes, ensuring compliance and alignment with business needs.
**What your responsibilities will be**
+ Lead and coordinate safety data analysis for aggregate reports preparation, signal management and ad hoc requests.
+ Support drug safety systems through business administration tasks, including database configuration updates, submission rules management and testing with regulatory authorities.
+ Serve as a subject matter expert in delivering and evaluating cost-effective, sustainable solutions that meet business requirements.
+ Manage documentation related to PV systems and applications, including SOPs, WPs, user requirements, functional/ technical specifications and process flow diagrams.
+ Drive change management initiatives to ensure smooth adoption of new processes and support the integration of new applications within the PV team.
+ Collect, prioritize and plan system improvements based on user feedback, while ensuring compliance with regulatory requirements.
+ Act as the primary PV contact for IT-related PV projects.
+ Drive Innovation through AI in Pharmacovigilance: Stay at the forefront of artificial intelligence advancements to identify and evaluate innovative technologies and processes that can enhance pharmacovigilance operations. This includes proactively assessing AI-driven tools and methodologies to improve signal detection, case processing, data analysis and regulatory compliance. Collaborate cross-functionally to pilot and implement solutions that increase efficiency, accuracy, and strategic value in safety monitoring.
**Who you are**
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skills, education, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
+ You have a bachelor's degree in Health Sciences (pharmacy, nursing, medicine, veterinary, etc) or Bioscience (biochemistry, biotechnology, biology, etc). Additional training and/or experience in bioinformatics/biostatistics or data analysis tools (such as R or Power BI).
+ You have at least 4 years of pharmacovigilance experience including management of pharmacovigilance data bases.
+ You have proven knowledge of Good Pharmacovigilance Practices; existing legislation, regulations, guidelines, medical coding and safety-data administration.
+ You are proficient in Windows and MS Office (Excel, PowerPoint, Visio, Word).
+ Familiarity with reporting tools such as Business Objects is strongly preferred.
+ You have knowledge of E2b (R2) and E2b (R3) and to be familiarity with medical terminology, MedDRA, WhoDrug are a plus.
+ You speak fluent Spanish and English.
+ You are proven self-starter with strong work ethic and the ability to exercise good judgment.
+ You must be proactive, results oriented and have strong attention to detail.
+ Strong organizational, analytical and problem-solving skills with the ability to make structured decisions on a routine basis.
+ Strong interpersonal skills with the ability to interact and collaborate with personnel at all levels in a team environment.
+ You possess strong technical writing and communication skills with ability to create and present design proposals, test scripts, execute training sessions and conduct effective meetings.
+ Ability to effectively prioritize and manage multiple tasks to ensure successful completion targeted deadlines.
**What we offer**
It is a brilliant opportunity for you, Grifols is fully aware that its employees are one of its major assets. We are committed to maintaining an atmosphere that encourages all our employees to develop their professional careers in an excellent working environment.
Information about Grifols is available at If you are interested in joining our company and you have what it takes for such an exciting position, then don't hesitate to apply!
We look forward to receiving your application!
**We believe in diverse talent and want to remove any barriers that may hinder your participation. If you require any adjustments in our selection process, please do not hesitate to inform us when applying. We are here to help.**
Grifols is an equal opportunity employer.
**Flexible schedule:** Monday-Thursday 7-10 to 16-19h and Friday 8-15h (with the same flexible start time).
**Benefits package**
**Contract of Employment:** Permanent position
**Flexibility for U Program:** Hybrid
**Location:** Sant Cugat del Vallès (preferably) / Other locations as Los Angeles, Clayton or Dublin will be considered
more about Grifols
**Req ID:**
**Type:** Indefinido tiempo completo
**Job Category:** I + D
**We believe that diversity adds value to our business, our teams, and our culture. We are committed to equal employment opportunity fostering an inclusive environment where diversity makes us be outstanding.**
Help us lead one of the world's largest pharmaceutical companies. We are a world leader in plasma-derived medicines with a presence in more than 100 countries, and a growing global team of over 20.000 people. That's why we need a _Pharmacovigilance Data Analysis Manager_ like you.
Role Mission: Provide operational support for global pharmacovigilance activities related to Grifols' investigational and marketed products. Ensure high-quality pharmacovigilance deliverables that comply with global regulatory reporting timelines. Manage project implementation and execution of safety systems, including ongoing business support and continuous improvement initiatives. Act as a key liaison with IT system administrators to validate and test system changes, ensuring compliance and alignment with business needs.
**What your responsibilities will be**
+ Lead and coordinate safety data analysis for aggregate reports preparation, signal management and ad hoc requests.
+ Support drug safety systems through business administration tasks, including database configuration updates, submission rules management and testing with regulatory authorities.
+ Serve as a subject matter expert in delivering and evaluating cost-effective, sustainable solutions that meet business requirements.
+ Manage documentation related to PV systems and applications, including SOPs, WPs, user requirements, functional/ technical specifications and process flow diagrams.
+ Drive change management initiatives to ensure smooth adoption of new processes and support the integration of new applications within the PV team.
+ Collect, prioritize and plan system improvements based on user feedback, while ensuring compliance with regulatory requirements.
+ Act as the primary PV contact for IT-related PV projects.
+ Drive Innovation through AI in Pharmacovigilance: Stay at the forefront of artificial intelligence advancements to identify and evaluate innovative technologies and processes that can enhance pharmacovigilance operations. This includes proactively assessing AI-driven tools and methodologies to improve signal detection, case processing, data analysis and regulatory compliance. Collaborate cross-functionally to pilot and implement solutions that increase efficiency, accuracy, and strategic value in safety monitoring.
**Who you are**
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skills, education, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
+ You have a bachelor's degree in Health Sciences (pharmacy, nursing, medicine, veterinary, etc) or Bioscience (biochemistry, biotechnology, biology, etc). Additional training and/or experience in bioinformatics/biostatistics or data analysis tools (such as R or Power BI).
+ You have at least 4 years of pharmacovigilance experience including management of pharmacovigilance data bases.
+ You have proven knowledge of Good Pharmacovigilance Practices; existing legislation, regulations, guidelines, medical coding and safety-data administration.
+ You are proficient in Windows and MS Office (Excel, PowerPoint, Visio, Word).
+ Familiarity with reporting tools such as Business Objects is strongly preferred.
+ You have knowledge of E2b (R2) and E2b (R3) and to be familiarity with medical terminology, MedDRA, WhoDrug are a plus.
+ You speak fluent Spanish and English.
+ You are proven self-starter with strong work ethic and the ability to exercise good judgment.
+ You must be proactive, results oriented and have strong attention to detail.
+ Strong organizational, analytical and problem-solving skills with the ability to make structured decisions on a routine basis.
+ Strong interpersonal skills with the ability to interact and collaborate with personnel at all levels in a team environment.
+ You possess strong technical writing and communication skills with ability to create and present design proposals, test scripts, execute training sessions and conduct effective meetings.
+ Ability to effectively prioritize and manage multiple tasks to ensure successful completion targeted deadlines.
**What we offer**
It is a brilliant opportunity for you, Grifols is fully aware that its employees are one of its major assets. We are committed to maintaining an atmosphere that encourages all our employees to develop their professional careers in an excellent working environment.
Information about Grifols is available at If you are interested in joining our company and you have what it takes for such an exciting position, then don't hesitate to apply!
We look forward to receiving your application!
**We believe in diverse talent and want to remove any barriers that may hinder your participation. If you require any adjustments in our selection process, please do not hesitate to inform us when applying. We are here to help.**
Grifols is an equal opportunity employer.
**Flexible schedule:** Monday-Thursday 7-10 to 16-19h and Friday 8-15h (with the same flexible start time).
**Benefits package**
**Contract of Employment:** Permanent position
**Flexibility for U Program:** Hybrid
**Location:** Sant Cugat del Vallès (preferably) / Other locations as Los Angeles, Clayton or Dublin will be considered
more about Grifols
**Req ID:**
**Type:** Indefinido tiempo completo
**Job Category:** I + D
This advertiser has chosen not to accept applicants from your region.
3
Data Scientist
Dublin, Leinster
UnitedHealth Group
Posted today
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.
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 Analytics team, supporting Optum Health, 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.
_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 office and telecommuting from a home-based office in a hybrid work model._ _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._
**Primary Responsibilities:**
+ Research, interpret, and analyse diverse and complex data and communicate findings to inform the business
+ Work with the business to develop and operationalize analytic solutions
+ Leverage big data analytics infrastructure comprising Python, Spark, Databricks and Snowflake to solve complex business problems in the healthcare domain
+ Collaborate with fellow data scientists, business analysts, data engineers and subject matter experts to design and develop data science solutions
+ Contribute to and engage with company innovation and patenting initiatives
_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:**
+ Bachelor's degree (or higher) in mathematics, physics, computer science, engineering, statistics, bioinformatics, actuarial science or similar
+ Ability to clean, transform, and analyze data using programming languages such as Python or SQL
+ Experience with statistical modelling and machine learning techniques
+ Proficiency in data visualization and communication of results
+ Understanding of database management, data structures and modern big-data frameworks
**Preferred Qualifications:**
+ Masters or PhD in applied mathematics, physics, computer science, engineering, statistics, bioinformatics, actuarial science or similar
+ Proficiency in Python, PySpark and other relevant computing environments
+ Experience or knowledge with cloud-based data analytics platforms such as Azure, Snowflake and Databricks
+ Experience in working with healthcare and/or temporal data
+ Track record of designing and applying machine learning solutions for real world problems
+ Familiarity with project management methodologies and ability to work within clear timelines and deliverables
+ Ability to collaborate with cross-functional teams and communicate technical concepts to non-technical stakeholders
+ Understanding of ethical considerations in data science and ability to apply them in practice
+ Understanding of business objectives and ability to translate them into data science projects
**Soft Skills:**
+ Good communication skills and ability to work collaboratively in a team environment
+ Demonstrated ability to learn quickly and adapt to new technologies and tools
+ Attention to detail and ability to prioritise tasks effectively
+ Strong problem-solving skills and ability to work independently to solve complex problems
+ Strong presentation skills and ability to communicate complex technical concepts to non-technical stakeholders
**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. © 2024 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 Analytics team, supporting Optum Health, 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.
_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 office and telecommuting from a home-based office in a hybrid work model._ _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._
**Primary Responsibilities:**
+ Research, interpret, and analyse diverse and complex data and communicate findings to inform the business
+ Work with the business to develop and operationalize analytic solutions
+ Leverage big data analytics infrastructure comprising Python, Spark, Databricks and Snowflake to solve complex business problems in the healthcare domain
+ Collaborate with fellow data scientists, business analysts, data engineers and subject matter experts to design and develop data science solutions
+ Contribute to and engage with company innovation and patenting initiatives
_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:**
+ Bachelor's degree (or higher) in mathematics, physics, computer science, engineering, statistics, bioinformatics, actuarial science or similar
+ Ability to clean, transform, and analyze data using programming languages such as Python or SQL
+ Experience with statistical modelling and machine learning techniques
+ Proficiency in data visualization and communication of results
+ Understanding of database management, data structures and modern big-data frameworks
**Preferred Qualifications:**
+ Masters or PhD in applied mathematics, physics, computer science, engineering, statistics, bioinformatics, actuarial science or similar
+ Proficiency in Python, PySpark and other relevant computing environments
+ Experience or knowledge with cloud-based data analytics platforms such as Azure, Snowflake and Databricks
+ Experience in working with healthcare and/or temporal data
+ Track record of designing and applying machine learning solutions for real world problems
+ Familiarity with project management methodologies and ability to work within clear timelines and deliverables
+ Ability to collaborate with cross-functional teams and communicate technical concepts to non-technical stakeholders
+ Understanding of ethical considerations in data science and ability to apply them in practice
+ Understanding of business objectives and ability to translate them into data science projects
**Soft Skills:**
+ Good communication skills and ability to work collaboratively in a team environment
+ Demonstrated ability to learn quickly and adapt to new technologies and tools
+ Attention to detail and ability to prioritise tasks effectively
+ Strong problem-solving skills and ability to work independently to solve complex problems
+ Strong presentation skills and ability to communicate complex technical concepts to non-technical stakeholders
**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. © 2024 Optum Services (Ireland) Limited. All rights reserved._
#RPO
This advertiser has chosen not to accept applicants from your region.
4
Data Scientist
Dublin, Leinster
UnitedHealth Group
Posted 1 day 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.**
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.
Optum Rx is looking for an experienced, curious, and self-motivated individual to lead a team that will be responsible for the development of new products and services for the organization. Partnering with business stakeholders, data science teams and technology teams, you will build strong relationships with our internal stakeholders, acquiring knowledge of the business and driving strategic platform build.
You will join a team of product managers, product owners, data scientists, and analysts who are responsible for building the pricing platform for over $100 Billion of prescription drug spend in the US Market annually. The team bring integrity, experience and calmness to what is a mammoth business. We have thousands of US clients, each with thousands of FDA approved drug prices to be managed. We are using our predictive models to optimize millions of individual drug prices to ensure we deliver value for clients and ultimately people who are filling over 150 million prescriptions per year.
We are accountable to manage one of the most complex areas of UnitedHealth Group, one of the largest companies in the world. We have to bring initiative, innovative thinking and curiosity to constantly evolve in a highly regulated environment. The changes we make have impact the next day for millions of people in the US market.
Our team culture is built on trust. We give our team the space they need to deliver results and the environment to ensure they can have fun doing it.
**Primary Responsibilities:** ** **
+ Strong focus on NLP, RAG and Document Analysis
+ Optimize models for performance, scalability and efficiency
+ Ability to take research whitepapers to production. Solid technical leadership to drive the Document Analysis team, which includes both data scientists and AI engineers.
+ Drives excellence and standardization across the data science team with a focus on skills development, training and career progression
+ Provide strategic and technical direction aligned to analytic efforts around AI/ML
+ Stay current on internal and external technological advances in AI and advanced analytics that can be applied to document processing
+ Drive inclusion and diversity as part of enhancing continued development of a strong diverse team culture
_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:**
+ Bachelors degree (or higher) in Data Science/relevant subject or equivalent experience
+ Experience in AI/ML model integration into production environments
+ Experience with text preprocessing, embeddings (Word2Vec, BERT), and feature engineering
+ Proficient in Python and data science libraries (scikit-learn, NLTK)
+ Ability to evaluate and fine-tune NLP models and OCR
**Preferable Qualifications:**
+ Understanding of statistical modelling and evaluation metrics for NLP
+ Postgraduate or MSc in Data science
**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. © 2024 Optum Services (Ireland) Limited. All rights reserved._
#RPO #BBMEMEA
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.
Optum Rx is looking for an experienced, curious, and self-motivated individual to lead a team that will be responsible for the development of new products and services for the organization. Partnering with business stakeholders, data science teams and technology teams, you will build strong relationships with our internal stakeholders, acquiring knowledge of the business and driving strategic platform build.
You will join a team of product managers, product owners, data scientists, and analysts who are responsible for building the pricing platform for over $100 Billion of prescription drug spend in the US Market annually. The team bring integrity, experience and calmness to what is a mammoth business. We have thousands of US clients, each with thousands of FDA approved drug prices to be managed. We are using our predictive models to optimize millions of individual drug prices to ensure we deliver value for clients and ultimately people who are filling over 150 million prescriptions per year.
We are accountable to manage one of the most complex areas of UnitedHealth Group, one of the largest companies in the world. We have to bring initiative, innovative thinking and curiosity to constantly evolve in a highly regulated environment. The changes we make have impact the next day for millions of people in the US market.
Our team culture is built on trust. We give our team the space they need to deliver results and the environment to ensure they can have fun doing it.
**Primary Responsibilities:** ** **
+ Strong focus on NLP, RAG and Document Analysis
+ Optimize models for performance, scalability and efficiency
+ Ability to take research whitepapers to production. Solid technical leadership to drive the Document Analysis team, which includes both data scientists and AI engineers.
+ Drives excellence and standardization across the data science team with a focus on skills development, training and career progression
+ Provide strategic and technical direction aligned to analytic efforts around AI/ML
+ Stay current on internal and external technological advances in AI and advanced analytics that can be applied to document processing
+ Drive inclusion and diversity as part of enhancing continued development of a strong diverse team culture
_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:**
+ Bachelors degree (or higher) in Data Science/relevant subject or equivalent experience
+ Experience in AI/ML model integration into production environments
+ Experience with text preprocessing, embeddings (Word2Vec, BERT), and feature engineering
+ Proficient in Python and data science libraries (scikit-learn, NLTK)
+ Ability to evaluate and fine-tune NLP models and OCR
**Preferable Qualifications:**
+ Understanding of statistical modelling and evaluation metrics for NLP
+ Postgraduate or MSc in Data science
**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. © 2024 Optum Services (Ireland) Limited. All rights reserved._
#RPO #BBMEMEA
This advertiser has chosen not to accept applicants from your region.
5
Data Scientist
The Hertz Corporation
Posted 10 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.
Be The First To Know
About the latest Data science positions Jobs in Ireland !
6
Data Scientist
Dublin, Leinster
The Hertz Corporation
Posted 10 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.
7
Data Scientist
Dublin, Leinster
UnitedHealth Group
Posted 16 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.**
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.
As a Data Scientist in the UnitedHealthcare Network Analytics team you will play a pivotal role in shaping the future of healthcare by applying data science techniques to solve some of the most pressing challenges in the U.S. healthcare system. Join us and be part of a dynamic team that is making a real difference in the lives of millions.
**Primary responsibilities:**
+ **Code daily to build impactful data science solutions** , delivering measurable improvements in healthcare cost, quality, and access
+ Collaborate closely with cross-functional teams to contribute to the roadmap for provider networks, claims data, and member experience
+ Willingness to learn and develop your data science skills and healthcare expertise through mentorship and guidance from senior data scientists
+ Demonstrate curiosity in modern data platforms and tools such as Databricks, Snowflake, and similar technologie
+ Develop your understanding of healthcare and the U.S. healthcare system, ensuring that solutions are context-aware and impactful
+ Translate complex healthcare data into actionable insights
+ Balance priorities and stakeholders to handle longer term projects with ad-hoc asks as they arise
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:**
+ Bachelor's degree (or higher) in a quantitative field such as mathematics, statistics, data science, computer science, actuarial science, engineering, or related discipline
+ Experience in SQL and Python/R
+ Demonstrated ability to solve technical problems through hands-on coding and model development
+ Experience applying data science to real-world business challenges, driving measurable impact
**Preferred Qualifications:**
+ Master's degree (or higher) in a quantitative field or relevant professional qualification
**Soft Skills:**
+ Communication skills, with the ability to explain technical concepts to diverse audiences
**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. © 2024 Optum Services (Ireland) Limited. All rights reserved._
#RPO
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.
As a Data Scientist in the UnitedHealthcare Network Analytics team you will play a pivotal role in shaping the future of healthcare by applying data science techniques to solve some of the most pressing challenges in the U.S. healthcare system. Join us and be part of a dynamic team that is making a real difference in the lives of millions.
**Primary responsibilities:**
+ **Code daily to build impactful data science solutions** , delivering measurable improvements in healthcare cost, quality, and access
+ Collaborate closely with cross-functional teams to contribute to the roadmap for provider networks, claims data, and member experience
+ Willingness to learn and develop your data science skills and healthcare expertise through mentorship and guidance from senior data scientists
+ Demonstrate curiosity in modern data platforms and tools such as Databricks, Snowflake, and similar technologie
+ Develop your understanding of healthcare and the U.S. healthcare system, ensuring that solutions are context-aware and impactful
+ Translate complex healthcare data into actionable insights
+ Balance priorities and stakeholders to handle longer term projects with ad-hoc asks as they arise
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:**
+ Bachelor's degree (or higher) in a quantitative field such as mathematics, statistics, data science, computer science, actuarial science, engineering, or related discipline
+ Experience in SQL and Python/R
+ Demonstrated ability to solve technical problems through hands-on coding and model development
+ Experience applying data science to real-world business challenges, driving measurable impact
**Preferred Qualifications:**
+ Master's degree (or higher) in a quantitative field or relevant professional qualification
**Soft Skills:**
+ Communication skills, with the ability to explain technical concepts to diverse audiences
**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. © 2024 Optum Services (Ireland) Limited. All rights reserved._
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