Job Title: Lead Data Scientist – Healthcare & Health Insurance Analytics
Requisition Number: 2330042
Location: Bangalore, Karnataka, India
Department: Business & Data Analytics
Employment Type: Full-time, Regular
Posted Date: January 2026
Optum, a UnitedHealth Group company, leverages technology, data, and expertise to improve health outcomes for millions globally. We connect people to care, pharmacy benefits, and insights that enable healthier lives. Our culture prioritizes inclusion, professional growth, and collaboration, empowering teams to deliver innovative healthcare solutions at scale.
We are seeking a Lead Data Scientist to drive innovation in healthcare and health insurance analytics through AI, ML, and Generative AI technologies. This role requires deep technical expertise, domain knowledge, and leadership experience to build scalable, secure, and responsible AI solutions that generate measurable business impact.
You will lead a team of data scientists and AI engineers, design advanced AI/ML solutions, and influence organizational strategy to accelerate healthcare innovation.
Leadership & Strategy
Lead, mentor, and manage a team of data scientists and AI engineers, fostering collaboration and innovation.
Define and implement the AI/ML roadmap aligned with healthcare business goals and regulatory requirements.
Translate complex healthcare challenges into actionable AI solutions with business stakeholders.
Oversee project delivery, team performance, and adoption of best practices.
Healthcare & Domain Expertise
Apply deep understanding of healthcare and health insurance datasets, including claims, clinical, provider, and member data.
Ensure compliance with HIPAA, HITECH, and data governance standards.
AI/ML & Generative AI Engineering
Architect, implement, and optimize ML, deep learning, and generative AI models using LangChain, HuggingFace, LLMs (GPT, Gemini, LLaMA).
Build and maintain RAG pipelines, multi-agent workflows, and prompt-based learning systems for healthcare applications.
Implement Responsible AI principles: fairness, transparency, explainability, and security.
Cloud-Native AI Development & MLOps
Design scalable AI/ML solutions on cloud platforms (Azure, AWS, GCP) with Databricks, SageMaker, ML Studio, Vertex AI, and Bedrock.
Integrate models with enterprise systems via APIs and SDKs.
Manage CI/CD pipelines, model monitoring, drift analysis, and containerization (Docker, MLFlow).
Collaboration & Stakeholder Management
Partner with cross-functional teams to deliver AI-powered insights and products.
Manage vendor relationships and external data partnerships.
Champion agile practices, code management (GitHub), and technical documentation.
Required:
7+ years of experience in data science, AI, and MLOps, including 3+ years in healthcare or health insurance analytics.
Hands-on experience with GenAI frameworks (LangChain, HuggingFace, LLMs) and cloud AI services (Azure, AWS, GCP).
Strong Python, PySpark, SQL, and big data technology expertise (Hadoop, Spark).
Proven leadership experience managing AI or data science teams.
Solid understanding of healthcare data, regulatory compliance, and domain-specific modeling.
Proficiency in MLOps, CI/CD, GitHub, and agile methodologies.
Preferred:
Experience with advanced deep learning (CNNs, Autoencoders) and NLP models (Transformers, RNNs).
Familiarity with healthcare interoperability standards (HL7, FHIR).
Exposure to reporting tools and dashboard creation.
Lead AI/ML innovation in healthcare and health insurance analytics.
Collaborate with global teams to improve health outcomes for millions.
Work in an inclusive, growth-oriented environment with comprehensive benefits.
Make a measurable impact on healthcare equity, access, and outcomes.
Learn more about Optum and our mission: Optum Careers
Gujarat :
Ahmedabad | Ankleshwar | Baroda | Bharuch | Gandhinagar | Gujarat | Halol | Jhagadia | Mehsana | surat | Tarasadi | Vadodara | Vapi |Maharashtra :
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Banasthali | Bhiwadi | Jaipur | Pilani | Udaipur |Karnataka :
Bangalore | Belgaum | Bengaluru | B.G Nagara | Bommasandra | Colorado | Czech Republic | Karnataka | Mangaluru | Mysore | Udupi |Punjab :
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