28 Data Analytics jobs in Ireland

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:**
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 our **Senior Manager- Pharmacy Pricing Financial Modeling** , you will join an established team within OptumRx responsible for managing our network pharmacy pricing guarantees. You will lead a team to provide financial modelling and analytics related to the performance of effective rate pricing guarantees, specific to the Commercial line of business. You will work with internal stakeholders to drive to best outcomes and ensure alignment with our pharmacy contractual obligations.
Within the role, you will build relationships with our partners and stakeholders across many functions, including Network Contracting, Client Contract Management, Finance, Legal and more.
We're looking for someone with a quantitative mindset, a strong aptitude for complex problem solving, industry experience, and well-developed communication and technical skills.
Careers with Optum offer flexible work arrangements and individuals who live and work in the Republic of Ireland will have the opportunity to split their monthly work hours between our Dublin or Letterkenny and telecommuting from a home-based office in a hybrid work model.
**Primary Responsibilities:**
- Lead a team responsible for managing the performance of effective rate pricing guarantees, within network pharmacies, for Optum's Commercial book of business.
- Ownership of the relevant financial modeling and ensuring ongoing iteration as required, to maintain highest level of efficacy in projections.
- Manage a critical process forming the foundation for pricing modelling and reporting. This involves the maintenance and manipulation of structured data to develop business intelligence tools, track trends, and conduct analyses related to effective rate pharmacy reimbursement.
- Responsible for the timely and accurate delivery of contractually required performance reporting, provided externally on a monthly, quarterly and annual basis.
- Lead and mentor a team of data engineers with a strong focus on DevOps best practices, code quality through rigorous code reviews, and deep expertise in designing, building, and optimizing scalable data pipelines using Azure Data Factory, Synapse, and related services.
- Oversee the team in developing analysis and scenario modelling related to pharmacy reimbursement and drive iteration of this analysis to drive key business decisions.
- Actively communicate to leadership and relevant stakeholders on emerging risks or trends.
- Actively consult with business stakeholders and subject matter experts to ensure appropriate application of contractual and regulatory obligations.
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:**
- SQL and/or Python, with the ability to perform effective and efficient querying involving multiple tables and subqueries.
- Advanced MS Excel
- Experience in financial modelling.
- Previous experience a managing a team for direct reports
- Strong communication skills, able to work with stakeholders from multiple levels and disciplines.
**Preferred Qualifications:**
- MS Azure.
- Comfortable analyzing and interpreting large volumes of data.
- Ability to understand complex scenarios and quickly provide effective decisions.
- PBM, Medicare or Pharma experience
- Experience in Data Quality
**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.
#RxFinancial #BBMEMEA

**Summary:**
As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
**Required Skills:**
Data Scientist, Product Analytics Responsibilities:
1. Defining new opportunities for product impact Influencing product and sales to solve the most impactful market problems
2. Apply your expertise in quantitative analysis and the presentation of data to see beyond the numbers and understand how our users interact with our growth products
3. Work as a key member of the product team to solve problems and identify trends and opportunities
4. Inform, influence, support, and execute our product decisions and product launches in partnership with Product, Engineering, and cross-functional teams
5. Set KPIs and goals, design and evaluate experiments, monitor key product metrics, understand root causes of changes in metrics
6. Exploratory analysis to discover new opportunities: understanding ecosystems, user behaviors, and long-term trends Identifying levers to help move key metrics
**Minimum Qualifications:**
Minimum Qualifications:
7. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent
8. 4+ years experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
9. 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution (including defining metrics, experiment, design, communicating actionable insights)
**Preferred Qualifications:**
Preferred Qualifications:
10. Master's or Ph.D. Degree in a quantitative field
**Industry:** Internet

**Are you looking for a career move that will put you at the heart of a global financial institution?** Then bring your skills in data analysis and reporting to Citi's RRO Quality Review Team.
Shape your career with Citi in Dublin. By joining Citi, you will become part of a global organisation whose mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress.
Citi has had a presence in Ireland since 1965, it was one of the first foreign banks to open an office in the country and is the Citibank Europe Plc Headquarters.
**Team/Role Overview**
The Legal Regulatory Requirements & Obligations ('RRO') team is part of Citi's Regulations Management Function and sit in Legal The team is responsible for identifying new or amended laws or regulations applicable to Citi and Citi's Regulations Inventory content.
The RRO Quality Review (QR) Team provide oversight for each stage of the RRO process. We work with the Reg identification and content teams to help make sure that the identification process is working as designed and that the regulations content that is being added into the Financial Regulations Inventory is correct and meets Citi standards.
We are a small friendly and supportive team of seven people sitting in the UK, NAM and India. The work is varied as it is global, and we interact with the different RRO teams in multiple locations.
**What you'll do**
+ Your day-to-day role will be to support the RRO Head of Data and Reporting.
+ The role will involve identifying data sources and populations for different tests that we perform, applying sampling methodologies, managing testing data, analysing testing results, creating and presenting reports, producing metrics.
**What we'll need from you**
+ You will need a strong legal and/or compliance data / reporting background,
+ Excellent analytical and communication skills
+ The ability to manage complex projects in a fast-paced environment **.**
+ We would also be open to entry level candidates with relevant skills gained through their degree course.
+ IT skills such as Advanced Excel (formulas and functions, pivots), Tableau, Python ( desirable but not essential
**What we can offer you**
This is a role that will offer you the opportunity to build an in-depth knowledge of financial services / legal technical support. We can offer in job training and courses to help you grow your career
By joining Citi Dublin, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed) and enjoy a whole host of additional benefits that support you (and your family) to be well, live well and save well. Discover more here. ( these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self every day. We want the best talent around the world to be energised to join us, motivated to stay, and empowered to thrive.
**Sounds like Citi has everything you need ? Then apply to discover the true extent of your capabilities.**
_#LI-KG2_
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**Job Family Group:**
Legal
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**Job Family:**
Legal Professionals
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**Time Type:**
Full time
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**Most Relevant Skills**
Please see the requirements listed above.
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**Other Relevant Skills**
For complementary skills, please see above and/or contact the recruiter.
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_Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._
_If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _Accessibility at Citi ( _._
_View Citi's_ _EEO Policy Statement ( _and the_ _Know Your Rights ( _poster._
Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.

**Principal Data Scientist - Network Analytics - Dublin & Letterkenny, Ireland**
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 does not 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** in the 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.
This is a full-time position with standard working hours of Monday - Friday, 9am - 5pm.
_Careers with Optum offer flexible work arrangements and individuals who live and work in the Republic of Ireland will have the opportunity to split their monthly work hours between our Dublin or Letterkenny office and telecommuting from a home-based office in a hybrid work model._
**Primary Responsibilities:**
+ **Code daily to build and deploy impactful data science solutions** , taking full ownership of projects from problem framing and data exploration to model development, deployment, and monitoring-delivering measurable improvements in healthcare cost, quality, and access
+ **Lead by example as a hands-on technical expert** , writing production-grade code and contributing directly to the development of big data systems, pipelines, and tools
+ **Collaborate closely with business and technical leadership** , acting as a strategic thought partner to shape the roadmap for data-driven innovation across provider networks, claims data, and member experience
+ **Design and implement scalable, real-world machine learning systems** , balancing performance, interpretability, and operational constraints in high-stakes healthcare environments
+ **Drive cross-functional initiatives** , using experimentation, and advanced analytics to define success metrics and guide decision-making
+ **Mentor and elevate the data science team** , conducting code reviews, setting technical standards, and fostering a culture of curiosity, rigor, and continuous learning
+ **Translate complex healthcare data into actionable insights** , integrating diverse data sources to build a comprehensive view of network behavior, risk, and opportunity
+ **Proactively surface emerging risks and opportunities** , using anomaly detection, fraud analytics, and pattern recognition to inform strategic interventions
+ **Contribute to the evolution of data science infrastructure** , working with platform teams to enhance tooling for experimentation, model monitoring, and reproducibility
+ **Represent the data science function in executive forums** , clearly communicating technical insights and their strategic implications to influence decisions and investments
+ **Develop your understanding of healthcare and the U.S. healthcare system** , ensuring that solutions are context-aware and impactful
_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 in a quantitative field such as mathematics, statistics, computer science, actuarial science, engineering, or related discipline
+ Extensive experience in SQL and Python/R with a strong track record of building data science solutions
+ Demonstrated ability to solve complex 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, PhD in a quantitative field or relevant professional qualification
**Soft Skills:**
+ Strong communication skills, with the ability to explain technical concepts to diverse audiences and influence decision-making
+ Leadership in collaborative, cross-functional settings, including mentoring and setting technical direction
**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._
For more information on our Internal Job Posting Policy, click here ( .
_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 #BBMEMEA

**Summary:**
As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
**Required Skills:**
Data Engineer, Product Analytics Responsibilities:
1. Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
2. Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
3. Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
4. Define and manage Service Level Agreements for all data sets in allocated areas of ownership
5. Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
6. Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
7. Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
8. Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
9. Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
10. Influence product and cross-functional teams to identify data opportunities to drive impact
11. Mentor team members by giving/receiving actionable feedback
**Minimum Qualifications:**
Minimum Qualifications:
12. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent
13. 4+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions
14. 4+ years of experience (or a minimum of 2+ years with a Ph.D) with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)
**Preferred Qualifications:**
Preferred Qualifications:
15. Master's or Ph.D degree in a STEM field
**Industry:** Internet

Minimum qualifications:
+ Bachelor's degree in Statistics, Computer Science, Mathematics, Business, or equivalent practical experience.
+ 2 years of experience in program or project management.
+ Experience with data warehouses, data models, dashboards and reporting, involving datasets and multiple data sources.
Preferred qualifications:
+ 2 years of experience managing cross-functional or cross-team projects.
+ 2 years of experience in an operations environment, supporting or managing a telecommunications or data networking business unit.
+ Experience within Six Sigma, Lean methodologies, or operation excellence frameworks.
+ Excellent communication skills across all levels of an organization.
A problem isn't truly solved until it's solved for all. That's why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Program Manager at Google, you'll lead complex, multi-disciplinary projects from start to finish - working with stakeholders to plan requirements, manage project schedules, identify risks, and communicate clearly with cross-functional partners across the company. Your projects will often span offices, time zones, and hemispheres. It's your job to coordinate the players and keep them up to date on progress and deadlines.
You will serve in various ways, supporting Network Delivery Implementation (NDI) and wider Global Network Delivery (GND) organizations. In this position you will be responsible for providing data, trend, and statistical analysis.
+ Support development of our business intelligence framework enabling measurement of project performance against critical path, with insights for cost and quality.
+ Build the business justification for continuous improvement projects based on trends and analysis from business intelligence framework.
+ Work as organization's subject matter expert in wider team standards, policy and tooling development.
+ Collate and deliver presentations to multiple levels of leadership and stakeholders for program updates.
+ Develop metrics and data insights dashboards to facilitate project review meetings.
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:

Description
Our team is looking for a Regional Business Intelligence Manager to work with various stakeholder groups to procure data center capacity, support long term scaling strategies for AWS's infrastructure regions, and manage a portfolio of critical infrastructure agreements. As the Regional Business Intelligence Manager, you will research and manage all areas of transaction deal flow related to data center procurement projects in the region, for both Colocation and Real Estate.
Our Business Intelligence Managers are:
- strategically oriented individuals with strong data analysis and communication skills
- working within an ambiguous environment
- possess a strong sense of ownership,
- adept at taking calculated risks in order to act quickly,
- organized and have program and project management skills
- data driven with a passion for continuous improvement.
- directly connecting with senior leaders and key vendors
AWS Infrastructure Services (AIS)
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help.
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
Key job responsibilities
- Leverage advantage data science skills to prepare transaction business case, forecast project costs and partner with internal teams to submit business case for leadership review.
- Assist with site selection process, strategy development, data analysis across the region.
- Manage stakeholder engagement from initial due diligence to contract review and execution, including management of all milestones to track contract execution and delivery from stakeholders.
- Support development of Master Telecommunications Service Agreements, Work Orders, Lease Agreements, and other contractual documents
- Ensure data integrity in supply planning and execution systems related to infrastructure supply options including cost, capacity, key dates, and contractual terms.
- Managing and manipulating complex data sets utilizing multiple analytical tools.
- Develop and oversee the implementation of continual process improvement initiatives related to operational efficiency, team effectiveness and new value added activities.
- Apply analytics and business intelligence skills to extract meaningful insights and learnings from large and complicated data sets
- Build rich data visualizations to tell the story of trends, patterns, and outliers. Test and challenge assumptions around DCSS scenario planning, sensitivity analysis, supply/demand planning, business size, and profitability - making recommendations for supply health and supportability activities or improvements to existing structures and frameworks.
- Design automated BI solutions for recurrent reporting (daily/weekly/monthly).
- Design data pipelines and automated processes which enable in-depth analysis.
- Publish, analyze and improve dashboards, operational business metrics decks and key performance indicators
- Building automation models for our long-term and mid-term capacity planning processes
- Develop key processes relating to business intelligence and supply matters. Support training of all supply related tooling, key processes and modeling.
- Able to incorporate Artificial intelligence (AI) programs to drive automation and build further efficiency in the organization.
About the team
ABOUT AWS:
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship and Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Basic Qualifications
- Previous experience in Supply and demand planning, analytics, data engineering or business intelligence.
- Experience using SQL, Python or scripting language, ETL and databases in a business environment with large-scale, complex datasets.
- Experience with data visualization, sensitivity analysis, scenario planning activities etc (PyPlot, Tableau, Salesforce, AWS QuickSight or similar tools)
- Experience writing SQL scripts, queries, and stored procedures to extract data.
- Experience conducting deep dive analyses of business problems; identifying root cause of business trends, formulating conclusions and recommendations.
Preferred Qualifications
- Experience as a Business Intelligence Engineer, Data Engineer, Business Analyst, Data Scientist, or equivalent.
- Experience gathering business requirements, using industry standard business intelligence tool(s) to extract data, formulate metrics and build reports
- Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets
- Bachelor's degree in Computer Science, Economics, Engineering, Mathematics, Statistics, Supply/planning, or related technical field.
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

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_**