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Senior Data Scientist - Dublin & Letterkenny

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 the Senior Data Scientist, 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 the 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.

Schedule: This is a full‑time position with standard working hours of Monday – Friday, 9am – 5pm.

Careers with Optum offer flexible work arrangements and individuals who live and work in the Republic of Ireland will have the opportunity to split their monthly work hours between our Dublin or Letterkenny and telecommuting from a home‑based office in a hybrid work model.

Primary Responsibilities of the Senior Manager Data Analytics

- Work with business to develop and operationalize analytic solutions

- Development of ML/deep learning models

- Engage in communications for all important functions including data understanding/exploration, strategizing solutions, etc

- Leverage big data analytics infrastructure comprising Python, Spark and Snowflake to solve complex business problems in the healthcare domain

- Leverage technical analytical expertise across the enterprise to architect, deploy, and oversee integrated analytics/business technology solutions

- Collaborate with fellow data scientists, business analysts and subject matter experts to design and oversee the development of working prototypes of data science solutions

- Participate in Sprint Planning and Sprint Review meetings with the Scrum Team and project stakeholders

- Support and drive analytic efforts around machine learning and innovation

- Work with autonomy to find solutions to complex problems

- Possess and instill a sense of curiosity and collaboration in team members to reach across teams and research methodologies

- Communicate analytic results and predictive models to business partners

You will be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions 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 Senior Data Scientist

- Undergraduate degree (or higher) in mathematics, physics, computer science, engineering, statistics, bioinformatics, actuarial science or equivalent experience

- Proven experience with Machine Learning and/or Predictive Analytics

- Hands‐on experience with Big Data technologies (PySpark, Snowflake, Hive) and/or traditional relational database technologies (any of Oracle, MS SQL Server, MySQL, etc.)

- Experience applying computational algorithms and statistical methods

- Experience combining analytic methods with advanced data visualizations

- Experience with CI/CD practices and tools (Git, GitHub, etc.) for development and monitoring throughout the model lifecycle

Preferred Qualifications of the Senior Data Analyst

- Master's or PhD in mathematics, physics, computer science, engineering, statistics, bioinformatics, actuarial science or similar

- Experienced with healthcare data

- Python experience

- Track record of publications in machine learning and/or artificial intelligence domain

- Experience with deep learning frameworks such as Tensorflow or PyTorch

- Good knowledge of inferential statistics (hypothesis testing, A/B testing, etc.)

- Working Knowledge of basic SQL or Python is desirable

Soft Skills

- Ability to break down and clearly define problems

- Strong communication, presentation and influencing 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.

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.

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.

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