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 qualified 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
- Design, dev

📌 Associate Data Scientist (Noida)
🏢 Optum India
📍 Noida