The Role
Analyzes structured and unstructured data, performs exploratory analysis and feature engineering, and develops machine learning and statistical models. Builds dashboards and reports, communicates insights to stakeholders, and supports AI/ML deployment. Experiments with generative AI, LLMs, prompt engineering, and basic RAG solutions while contributing to responsible AI practices, documentation, data quality, and cross-functional decision-making.
Summary Generated by Built In
Requisition Number: 2388388
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:
Required Qualifications:
Preferred Qualifications:
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.
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:
- Data Analysis & Insights
- Analyze structured and unstructured datasets to identify trends, patterns, and business opportunities
- Perform exploratory data analysis (EDA), feature engineering, data validation, and data quality assessments
- Translate complex analytical findings into meaningful insights and actionable recommendations for business stakeholders
- Machine Learning & AI
- Build, evaluate, optimize, and monitor machine learning and statistical models under the guidance of senior team members
- Assist in developing predictive and prescriptive analytics solutions to improve business outcomes
- Support the deployment and maintenance of AI/ML solutions in production environments
- Generative AI & Emerging Technologies
- Prototype and experiment with Generative AI and Large Language Model (LLM) use cases
- Work on prompt engineering, basic Retrieval-Augmented Generation (RAG), and AI-powered automation initiatives
- Understand Responsible AI principles, including model reliability, bias, and hallucination mitigation
- Data Visualization & Reporting
- Develop dashboards, reports, and visualizations using modern BI tools
- Present data-driven insights through intuitive analytical storytelling and business narratives
- Support operational teams with KPI tracking and performance reporting
- Collaboration & Stakeholder Management
- Partner with business teams to identify opportunities for data-driven decision-making and process optimization
- Collaborate with Data Engineers to ensure clean, reliable, and scalable datasets
- Participate in cross-functional discussions and contribute to analytical problem-solving initiatives
- Documentation & Continuous Learning
- Document methodologies, experiments, code, and technical approaches
- Present findings and recommendations to internal teams and stakeholders
- Stay updated with the latest advancements in AI, Machine Learning, Generative AI, and Data Science
- Comply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements
Required Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field
- 1+ years of experience in Data Science, Analytics, Machine Learning, or related roles
- Experience performing EDA, data preprocessing, and feature engineering
- Good understanding of statistics, machine learning algorithms, and data modeling techniques
- Familiarity with data visualization and dashboarding tools such as Power BI, Tableau, or similar platforms
- Proficiency in SQL for data extraction, manipulation, and analysis
- Proven solid programming skills in Python
- Proven solid analytical thinking and problem-solving skills
- Proven excellent communication and stakeholder management abilities
Preferred Qualifications:
- Experience with machine learning libraries such as Scikit-learn, Pandas, NumPy, and XGBoost
- Knowledge of Databricks, Snowflake, or modern data platforms
- Familiarity with cloud platforms such as Azure, AWS, or Google Cloud Platform
- Understanding of CI/CD, MLOps, and model deployment concepts
- Proven exposure to Generative AI, LLMs, Prompt Engineering, and basic RAG frameworks
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 or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field
- 1+ years of experience in Data Science, Analytics, Machine Learning, or related roles
- Experience performing exploratory data analysis, data preprocessing, and feature engineering
- Understanding of statistics, machine learning algorithms, and data modeling techniques
- Familiarity with data visualization and dashboarding tools such as Power BI or Tableau
- Proficiency in SQL for data extraction, manipulation, and analysis
- Solid programming skills in Python
- Strong analytical thinking and problem-solving skills
- Excellent communication and stakeholder management abilities
- Experience with Scikit-learn, Pandas, NumPy, and XGBoost
- Knowledge of Databricks, Snowflake, or modern data platforms
- Familiarity with Azure, AWS, or Google Cloud Platform
- Understanding of CI/CD, MLOps, and model deployment concepts
- Exposure to Generative AI, LLMs, Prompt Engineering, and basic RAG frameworks
Optum Compensation & Benefits Highlights
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Leave & Time Off Breadth — PTO is generally described as decent or good, and many note it as a strong part of the package. Actual ability to take time off can depend on workload and team coverage.
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Retirement Support — Offerings include a 401(k) with employer match and access to an employee stock purchase plan, which are highlighted as meaningful components of total rewards. These programs are consistently referenced among core benefits.
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Parental & Family Support — Parental and caregiver leave, along with adoption assistance, are publicly highlighted and viewed as notable elements of the package. Availability can be role-specific, but these supports contribute to overall breadth where offered.
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The Company
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.
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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.
Typical time on-site:
Not Specified
