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 inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
Primary Responsibilities:
- Be part of end-to-end AI driven solution development, from problem framing to model deployment and monitoring
- Design and implement predictive, statistical, and machine learning models
- Analyze large, complex datasets across multiple domains to uncover trends, patterns, and business insights
- Collaborate with Data Engineering to productionize models using scalable pipelines and cloud platforms
- Apply responsible AI principles, including model explainability, fairness, and governance
- Continuously evaluate emerging AI/ML techniques and tools to drive innovation and reuse
- Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
Required Qualifications:
- Bachelor's degree in Data Science, or Computer Engineering
- 4+ years of hands-on experience analytics or applied machine learning
- Experience building and validating statistical and ML models in real-world business settings
- Experience working with cloud data platforms (Azure)
- Experience with GenAI / LLMs, NLP
- Solid proficiency in Python, PySpark and SQL
- Solid understanding of data modeling, feature engineering, and model evaluation techniques
- Solid communication skills with the ability to translate technical outputs into business impact
- Familiarity with ML Ops, model lifecycle management, and monitoring in production
Preferred Qualification:
- Healthcare industry experience
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.
Skills Required
- Bachelor's degree in Data Science or Computer Engineering
- 4+ years of hands-on experience in analytics or applied machine learning
- Experience building and validating statistical and ML models in real-world settings
- Experience working with cloud data platforms (Azure)
- Experience with GenAI / LLMs, NLP
- Solid proficiency in Python, PySpark and SQL
- Solid understanding of data modeling, feature engineering, and model evaluation techniques
- Solid communication skills to translate technical outputs into business impacts
- Familiarity with ML Ops, model lifecycle management, and monitoring in production
Optum Compensation & Benefits Highlights
-
Healthcare Strength — Health coverage offers multiple plan types with employer HSA contributions, in‑network preventive care at 100%, and included 24/7 virtual visits, alongside dental and vision options. This breadth allows predictable copay choices or tax‑advantaged HSA designs to fit different usage needs.
-
Retirement Support — Retirement programs include a 401(k) with employer match eligibility and full vesting over time plus an Employee Stock Purchase Plan at a discount. Together these elements support long‑term savings and ownership.
-
Parental & Family Support — Family supports include six weeks paid parental leave, paid caregiver leave, adoption assistance, and subsidized Bright Horizons back‑up care. Emotional well‑being resources like a premium Calm subscription and a 24/7 EAP complement these supports.
Optum Insights
What We Do
Optum, part of the UnitedHealth Group family of businesses, 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 inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. At Optum, we support your well-being with an understanding team, extensive benefits and rewarding opportunities. By joining us, you’ll have the resources to drive system transformation while we help you take care of your future. We recognize the power of connection to drive change, improve efficiency and make a difference in health care. Join a team where your skills and ideas can make an impact and where collaboration is key to creating technology that produces healthier outcomes.
Gallery
Optum Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Optum has three workplace models that balance the needs of the business and the responsibilities of each role. These models, core on‑site (5 days/week), hybrid (4 days/week) and telecommute or fully remote, vary by country, role and location.
