21 Data Science jobs in County Dublin

Applications are sought for Ad Astra Fellow - Assistant Professor of Agri-food Systems Data Science within the College of Health and Agricultural Sciences. Applications are invited for the post of Assistant Professor in Agri-Food Systems Data Science at the UCD School of Agriculture & Food Science. This position offers an exciting opportunity to contribute to cutting-edge research and teaching while addressing critical national and global challenges in sustainable food systems. We invite dynamic and ambitious scholars with a strong background in applying artificial intelligence (AI), machine learning (ML) and Multiple Criteria Decision Analysis (MCDA) to complex datasets within agri-food systems. The successful candidate will play a leading role in advancing the School's expertise in agri-food systems modelling, focusing on sustainability and innovation in food production. They will be instrumental in developing a vibrant research agenda, collaborating with interdisciplinary teams, and making significant contributions to both teaching and student mentorship. This position is aligned with UCD's Strategy to 2030, particularly its pillars of Advancing Research and Innovation and Driving Sustainability. The successful candidate will contribute significantly to UCD's mission of addressing pressing societal challenges through impactful research, teaching, and collaboration. 95 Lecturer/Asst Professor Above the Bar (7943) Salary Scale: €62,855 - €99,533 Per Annum Appointment will be made on scale and in accordance with the Department of Finance guidelines. Closing date: 12:00 noon (local Irish time) on the 29th August 2025. Applications must be submitted by the closing date and time specified. Any applications which are still in progress at the closing time of 12:00 noon (Local Irish Time) on the specified closing date will be cancelled automatically by the system. UCD are unable to accept late applications. Please note: the eRecruitment system only requests the names of two referees. The full list of 3 referees should be included in the text of your application. UCD do not require assistance from Recruitment Agencies. Any CVs submitted by Recruitment Agencies will be returned. Note: Hours of work for academic staff are those as prescribed under Public Service Agreements. For further information please follow the link; To be considered for this role you will be redirected to and must complete the application process on our careers page. To start the process click the Apply button below to Login/Register.

Job Title: Lecturer in AI and Machine Learning for Life Science Department: School of Pharmacy and Biomolecular Sciences Reporting to: Head of School or nominee Location: 123 St. Stephens Green, Dublin 2 Contract/Duration: Full-time, Permanent Closing Date: 22nd July, 2025 Objective of this post are to: Design, deliver and continuously improve undergraduate and postgraduate teaching that integrates AI/ML theory with practical applications in biomedical science, including but not limited to our BSc 'Advanced Therapeutic Technologies' and MSc 'Technologies and Analytics in Precision Medicine'. Bring practical, real-world AI/ML experience from working directly with clinical, biomedical, pharmaceutical, or life science data - for example, multi-omics, medical imaging, health records, digital biomarkers, or clinical trials. Sustain an internationally competitive, interdisciplinary research programme applying advanced AI/ML to challenges in human health and the life sciences. Proactively seek funding and build research partnerships with clinical teams, biopharma, digital health start-ups, or public health bodies. Specific Responsibilities include: Teaching : Preparation, delivery and assessment in the broad curricular areas of Machine Learning/Artificial Intelligence in Health, on our undergraduate and post-graduate programmes, as required, ensuring at all times that teaching material is innovative, up-to-date and in line with international best practice, Demonstrate a student-centred approach to all duties to ensure optimal educational outcomes. Lead development of innovative modules that apply AI/ML techniques to real datasets from genomics, clinical trials, or medical imaging. Incorporate ethical and explainable AI practices relevant to life sciences research. Participate in cross-functional teams to design and deliver academic programmes. Contribute to the quality assurance/quality improvement and accreditation of all programmes delivered in the School. Participate in the delivery of our teaching learning, assessment and feedback strategy including the effective use of technology-enhanced learning. Maintain and develop the School's relationship with clinical and industrial teaching/placement sites (as appropriate). Research : Engage in internationally competitive innovative research and knowledge transfer activities in the area of Artificial Intelligence/machine learning in Health, aligned to designated areas of priority for the School and the College. Actively seek funding to support these, either independently or as part of a team, and generate high impact research outputs consistent with expectations at this level. Contribute to and support ongoing academic and industry-based research collaborations within the School, nationally and internationally. Supervise undergraduate and postgraduate research projects across the School of Pharmacy and Biomolecular Sciences. Contribute to School thesis review committees as required. Service : Comply with statutory legislation and departmental rules and requirements in furtherance of your own, staff and student welfare and safety. Competent discharge of academic administrative duties and engagement across the School and Faculty of Medicine and Health Sciences, in aspects such as attendance at examination boards, team meetings, interviewing prospective students, attendance at Open Days, outreach events etc. Support activities to realise RCSI's vision in embedding AI and digital health in education and research practices Promote the best interests of RCSI at all times, enhancing the School's reputation in both research and education. Support students through student centered initiatives, such as personal tutoring/mentoring, and other initiatives, as appropriate. Foster and supporting links with national and international academic partners. Perform such other duties as may be required from time to time. Qualifications - (Essential): Has a PhD degree or equivalent in Machine Learning/Artificial Intelligence, Computational Biology, Computer Science or related area Has clear evidence of applying advanced AI/ML methods in life sciences, biomedical research, or clinical domains. Experience with large-scale health or biomedical data (e.g. genomics, proteomics, imaging, EHR) and relevant statistical modelling. Knowledge & Experience - (Essential): Has clear and demonstrable experience in the delivery of teaching at undergraduate and postgraduate levels in Artificial Intelligence Has a teaching related qualification (desired) Has a sustained track record of both senior authorship of papers in high quality peer-reviewed journals and of securing competitive grant funding in areas related to Artificial Intelligence Has experience of supervising undergraduate and postgraduate research students Can function effectively within a team, using clear and effective communication. Requires minimum direction to effectively deliver on assigned functions, and demonstrates a positive, student-centred and solution focused approach to addressing challenges and ambiguity. Has flexibility to work irregular hours on occasion. We are all too aware that imposter syndrome and the confidence gap can sometimes stop fantastic candidates putting themselves forward, so please do submit an application. Application Process Please apply online through the RCSI careers portal on the closing date with your CV and cover letter. Informal Enquiries can be directed to Dr. Sudipto Das (Vice Dean for AI and digital, connected health): . Please note we do not accept CVs directly.

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.
As a Software Engineer, you will be a fundamental part of a delivery project, leading one of our scrum teams within the Provider Tech space in Dublin. You will be working with a very technical piece of architecture and will collaborate with internal IT Specialists and strategic partners through all phases of the development life cycle.
**Schedule:** Full-time position, Monday - Friday with standard working hours
_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 Offices and telecommuting from a home-based office in a hybrid work model._
**Primary Responsibilities:**
+ Machine Learning Model Development:
+ Assist in designing and developing machine learning models to address business challenges
+ Perform data preprocessing and feature engineering
+ Support model selection and initial optimization
+ Model Deployment and Monitoring:
+ Assist in deploying machine learning models into production environments
+ Monitor model performance and suggest updates and improvements
+ Ensure models are reliable and maintainable
+ Data Science and Data Engineering:
+ Conduct exploratory data analysis and visualize data insights
+ Help develop and maintain data pipelines for efficient data processing
+ Experience in developing AI Agentic solutions
_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:**
+ Programming skills in Python and PySpark
+ Understanding with Machine Learning Frameworks and Libraries (e.g., PyTorch, scikit-learn, TensorFlow, MLflow, Keras, XGBoost)
+ Experience with cloud platforms, particularly AWS AI services (Bedrock, SageMaker) and/or Azure OpenAI Service
+ Proven experience in developing and deploying LLM-powered applications in production
+ Understanding of modern NLP techniques (e.g. transformers, embeddings, prompt engineering)
+ Experience with foundation models and generative AI platforms (e.g. OpenAI, Anthropic, open-source models)
+ Experience in building RAG solutions with vector databases (e.g. pgvector, Pinecone, OpenSearch)
+ Exposure to AI orchestration frameworks such as LangChain, LangGraph and others
+ Familiarity with MLOps practices (deployment, monitoring, model lifecycle)
**Soft Skills:**
+ Communication and collaboration skills
**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 marginalized 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 Traveler community, or any other characteristic protected by law. Optum is a drug-free workplace. © 2024 Optum Services (Ireland) Limited. All rights reserved._
#RPO

**Data Scientist - Dublin/Letterkenny Hybrid**
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:**
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.
You will be working on innovative AI projects driving and supporting various advanced analytic solutions aimed to improve healthcare delivery. You will be an important member of a Data Science team focused on innovation; developing predictive models that leverage data in new and exciting ways. It will give you a great opportunity to get into the Healthcare Data world and learn best practices in the industry working with data both on-prem and in cloud.
You will work in close collaboration with business and product stakeholders, as well as with Business Intelligence and Data Engineering teams. You will contribute across the Data Science toolset, patents or products in areas like shared codes, best practices, technology and quality. You will embrace continuous learning and evangelizing of Data Science practices to ensure industry best practices and technology adoption. In addition to having impact on a great team, you'll also discover the career opportunities you'd expect from an industry leader.
**Primary Responsibilities of the Data Scientist:**
- Research, interpret, and analyse diverse and complex data and communicate findings to inform the business.
- Work with 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 oversee the development of data science solutions.
- Contribute to and engage with the innovation and patenting programmes.
_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 the Data Scientist:**
- Degree in mathematics, physics, computer science, engineering, statistics, bioinformatics, actuarial science or similar.
**Technical Skills:**
- 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
**Business Skills:**
- Understanding of business objectives and ability to translate them into data science projects
- Familiarity with project management methodologies and ability to manage projects with 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
**Interpersonal 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 problem
- Strong presentation skills and ability to communicate complex technical concepts to non-technical stakeholders
**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 environments.
- Experience or knowledge with cloud-based data analytics 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.
**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_**

The Centre for Intelligent Power, located at Eaton's global headquarters in Dublin, Ireland, is at the forefront of applying AI and data science to revolutionize how we manage and use power. We tackle today's toughest digital challenges while developing breakthrough technologies that will power the next generation of intelligent, sustainable products and services.
As we continue to grow, we're looking for Data Scientists to join our expanding team. In this role, you'll research and develop advanced algorithms that address emerging challenges in the industrial and energy domains. You'll work closely with cross-functional teams to turn data into actionable insights and deployable solutions.
**What you'll do:**
+ Research and develop cutting-edge AI and data science algorithms
+ Analyze data to uncover insights and inform algorithm development
+ Incorporate system constraints into algorithm and dataset design
+ Design experiments and create high-quality labelled datasets
+ Plan and manage projects using Agile methodologies
+ Document and present solutions using diagrams, code, and performance metrics
+ Stay current with the latest tools, techniques, and academic research
**Qualifications:**
+ MSc or PhD in Data Science, Computer Science, Engineering, Physics, or a related field
+ 1-4 years of experience applying data science to real-world problems
+ Proficiency in Python, MATLAB, Simulink, and C/C++ Experience with algorithm optimization, embedded deployment, and automatic code generation
+ Familiarity with signal processing and machine learning for power systems is a plus
+ Strong communication skills and ability to work in cross-functional teams
+ Experience with Agile development and mentoring is desirable
+ A track record of academic publications or intellectual property generation is a bonus
**What we offer:**
+ Competitive Compensation & Benefits: Including pension, private health insurance, wellness programs, and more
+ Challenging & Impactful Work: Engage in cutting-edge projects within a dynamic, collaborative team environment
+ Career Growth: We prioritize internal mobility and support your professional aspirations through clear development pathways
+ Continuous Learning: Access to ongoing training and development through Eaton University and other learning platforms
+ Long-Term Investment in You: At Eaton, we don't just offer jobs-we build careers
#LI-MM2
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.

Actuarial Data Scientist Are you ready to revolutionise the insurance industry by combining your actuarial expertise with cutting-edge data science techniques? If so, this may be the opportunity for you. This role offers a unique chance to apply actuarial methodologies alongside advanced data science technologies, creating innovative solutions for complex insurance challenges. If you are a motivated Actuarial Data Scientist with a passion for innovation and a desire to make a difference, we encourage you to apply and join our team at Aon. This is a hybrid role with the flexibility to work both virtually and from our Dublin office Aon is in the business of better decisions At Aon, we shape decisions for the better to protect and enrich the lives of people around the world. As an organisation, we are united through trust as one inclusive team and we are passionate about helping our colleagues and clients succeed. What the day will look like As an Actuarial Data Scientist at Aon, you will spend your day analysing complex datasets to assess risk and forecast financial outcomes, primarily in the insurance sector. You will collaborate with cross-functional teams to develop predictive models and provide insights that drive strategic decision-making. Your role involves leveraging statistical techniques and machine learning algorithms to enhance actuarial models and optimise business processes. How this opportunity is different This opportunity offers a unique blend of actuarial expertise and advanced data science techniques, offering a chance to innovate within the insurance industry. This position allows you to apply actuarial methodologies in non-traditional settings, using cutting-edge tools like You will collaborate with a multi-disciplinary team, including data scientists, engineers, and domain experts, fostering a dynamic environment that encourages creativity and initiative. Skills and experience that will lead to success Experience working in or collaborating with actuarial teams in general insurance with experience of statistical modelling/actuarial modelling using data science techniques Actuarial knowledge of frequency and severity modelling as it relates to general insurance and motivated to use this knowledge in combination with data science models to build new solutions Experience with a programming language and enthusiasm to learn and develop ability to use python Ability to convey complex models and new technologies to non-technical audiences Motivated to be at the cutting edge of technology and data science building new solutions to unsolved problems in the insurance sector Excellent communicator (both verbally and in writing) with internal and external clients How we support our colleagues In addition to our comprehensive benefits package, we encourage an inclusive workforce. Plus, our agile environment allows you to manage your wellbeing and work/life balance, ensuring you can be your best self at Aon. Furthermore, all colleagues enjoy two "Global Wellbeing Days" each year, encouraging you to take time to focus on yourself. We offer a variety of working style solutions for our colleagues as well. Our continuous learning culture inspires and equips you to learn, share and grow, helping you achieve your fullest potential. As a result, at Aon, you are more connected, more relevant, and more valued. Aon values an innovative and inclusive workplace where all colleagues feel empowered to be their authentic selves. Aon is proud to be an equal opportunity workplace. Aon provides equal employment opportunities to all employees and applicants for employment without regard to race, colour, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, veteran, marital, domestic partner status, or other legally protected status. We welcome applications from all and provide individuals with disabilities with reasonable adjustments to participate in the job application, interview process and to perform essential job functions once onboard. #LI-JM3 2555614 To be considered for this role you will be redirected to and must complete the application process on our careers page. To start the process click the Apply button below to Login/Register.

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.
As a **Principal Data Scientist** within our Network Pricing team, you will play a key role in analyzing and optimizing pricing strategies across our provider networks. By leveraging data insights and market trends, you'll develop innovative solutions to enhance member experience and drive improved financial performance. Your work will involve collaboration with stakeholders, managing pricing models, and supporting pricing operations to achieve measurable outcomes.
Ready for a challenge? You will need all your leadership skills and creativity as you manage and develop provider networks that achieve performance objectives. As a result, there is a high level of visibility and accountability for results.
You've been working your way to this opportunity for some time now. Now that you've learned to lead and build a deep analytics expertise, it is time to set your sights on having an impact in more ways. Join our leadership team and help UnitedHealth Group meet the challenge of shaping where health care will go.
**Schedule** : 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 office and telecommuting from a home-based office in a hybrid work model._ _?_
**Primary Responsibilities:**
+ Provide data-driven insights, critically analyze challenges and test hypotheses to inform key business decisions
+ Engage with stakeholders at various levels to gather requirements, incorporate feedback, manage expectations, and ensure alignment with the financial goals of client performance management
+ Design and develop custom pricing models tailored to specific products or client segments as needed. Review the performance of existing pricing models, identifying opportunities for enhancement or optimization based on stakeholder feedback and evolving business needs. Communicate proposed changes and their potential impact clearly to non-technical stakeholders
+ Break down pricing model functionalities into detailed components; formulate technical and business requirements for deployment to production systems. Work closely with engineering teams to deploy pricing models in production environments
+ Drive automation and streamline pricing processes by identifying gaps or inefficiencies in current workflows; design solutions that enhance efficiency and accuracy
+ Collaborate with stakeholders to map out existing procedures and gather feedback on pain points?Design and implement automated solutions-such as scripts, dashboards, or workflow tools-that reduce manual intervention, minimize errors, and accelerate pricing operations. Develop clear documentation and provide training for end-users to ensure successful adoption of new processes
+ Identify opportunities for more comprehensive, multi-dimensional pricing that consider a variety of factors such as up-to-date, market relevant, alignment with regulations, market events. Support development and tracking of network performance KPI's to quantify impact of these pricing initiatives
+ Thoroughly learn the business and educate those around you, both on your team and more broadly, on the mechanics of network pricing and the PBM business model
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:**
+ Extensive experience in business focused analytical roles (e.g. finance, business analysis, data analytics)
+ Extensive experience leading projects autonomously
+ Intermediate level of SQL experience with experience querying large volumes of transactional data
+ Advanced level of proficiency in Python in data manipulation and analysis
+ Experience working with visualization software such as Tableau and/or PowerBI
+ Experience in MS Office, including proficiency with MS Excel
+ Experience with managing others
**Preferred Qualifications:**
+ Experience communicating and presenting complex technical concepts to non-technical audiences
+ Undergraduate Degree in a numerical subject (e.g. Finance, Statistics, Mathematics, or Economics)
+ Experience with Azure Databricks & the Azure Ecosystem
+ Experience working in industries such as Healthcare, Financial Services, Banking or Telco
**Soft Skills:**
+ Communication skills, able to work with stakeholders from multiple levels and disciplines
**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

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.
You will join a team of data scientists and data analysts who?are responsible for?designing analytics that underpins our products. This typically involve exploratory data analysis, model development (Rule based & AI), model maintenance & Integration to product, compliance related activities, documentation Liaising/Coordination with different tech partners.
As a? **Senior Data Scientist** , you will apply your expertise and skills to improve our value definitions, produce optimal design and build out our product design capability. In support of these goals, you will be conducting research and analysis, problem solving with the team, prototyping solutions, and reporting on our solutions. You will be part of a team supporting these goals as well.
**Primary Responsibilities:**
+ Define analytics that underpins product design and contribute to various tasks related to it such as ideate, define & build related processes throughout product lifecycle
+ Research methods and solutions, analyze data, prototype solutions and critically evaluate designs to optimize product development
+ Advocate for both technical and procedural changes and shepherd them through to delivery
+ Ensure quality in design, coding outputs and artefacts produced
+ Collaborate with the team and partners to solve problems
+ Collaborate with other teams who will integrate prototype solutions into product delivery
+ Work independently and with focus when needed
+ Explore, analyze and interpret large datasets to identify patterns, trends and anomalies
+ Build data pipelines, models and dashboards to demonstrate value proposition
+ Maintain your knowledge of latest technologies and techniques relating to analytics and data science
+ Guide and support other team members
+ Work within the solution delivery methods and standards set out
_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 engineering, data science, computer science or a related field
+ A high standard of programming experience with Python ,PySpark and SQL
+ Experience using collaborative cloud-based environments such as Databricks and Azure
+ Experience building machine learning and prediction models
+ Experience with production system change delivery methods and techniques including Agile delivery framework, deployment practices, version control and testing practices
+ Experience with data analysis and problem solving
+ Knowledge of best practices for optimization
**Preferred Qualifications:**
+ Experience with embedding analytics in commercial product development
+ Experience working on large scale and high impact projects
+ Experience leading process improvement/optimization activities
+ Ability to quickly build subject matter expertise
+ Familiarity with the HealthCare/Pharmaceutical industry
+ Masters degree or PhD in a technical field (e.g. computer science, science, engineering, math, statistics, physics etc.)
**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