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.
Optum is seeking a Data Science professional who is passionate about applying machine learning, Generative AI, and Large Language Models (LLMs) to solve complex healthcare problems on a scale. Imagine working with massive volumes of healthcare data spanning clinical, claims, behavioral, and digital interactions-powering intelligent personalization, discovery, and decision support for millions of members, providers, and care teams.
At Optum, the Data Science mission is to transform healthcare data into robust, scalable AI solutions, including LLM‑based and Retrieval‑Augmented Generation (RAG) systems that combine enterprise knowledge with advanced language models to deliver accurate, contextual, and trustworthy insights. These solutions help uncover deep usage patterns, member journeys, and care signals that inform and continuously evolve Optum's digital products, clinical platforms, and healthcare services.
Your work will directly influence how healthcare consumers engage with digital experiences, how clinicians access timely insights, and how business and care strategies are shaped through data. By joining Optum's data science team, you will be part of an exciting journey to build advanced ML and GenAI‑driven products, grounded in responsible AI principles, that operate at enterprise scale and create meaningful impact across the healthcare ecosystem.
Primary Responsibilities:
Required Qualifications:
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Bachelor's Degree (preferably in information technology, engineering, math, computer science, analytics, engineering or other related field)
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4+ years of experience in handling/active development in data science projects
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4+ years of experience in Microsoft Azure Cloud, Databricks, Mlflow, Spark SQL and Python
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Experience using Machine Learning Algorithms: Linear and Logistic Regression, Time Series analysis, Support Vector Machine, K-Means clustering, K-Nearest Neighbors Decision Trees, Random Forest, Naive Bayes, PCA, SVD, Artificial Neural Networks, Association Rules, Genetic Algorithm, Optimization, Bagging and Boosting algorithms etc.
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Understanding of data, schema, data model, machine learning and how to bring efficiency in big data related life cycle
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Proficient with hands-on experience in Python coding, Spark SQL and any other programming language along with corresponding language packages
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Proven skills to create opportunities using machine learning or artificial intelligence
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Proven excellent communication and presentation skills
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.
