Job Summary

As a Senior Data Scientist (SG 29), you will hands on design, build, and productionize Agentic AI and GenAI solutions on top of a Healthcare Core Data Platform. You will deliver reliable, compliant, and scalable AI systems that work across large healthcare datasets (claims/clinical/provider/member) and enable measurable improvements in quality, cost, and operational efficiency.

Primary Responsibilities
Agentic AI & GenAI Delivery
Design and implement agentic AI systems (multi step, tool using agents) that can plan, execute, and verify outcomes under defined guardrails for healthcare workflows
Build GenAI solutions using enterprise approved LLMs including Claude 4.6 and OpenAI Codex (and equivalents) for:
intelligent data exploration and analytics assistance
automated insight generation and summarization
engineering productivity accelerators (code generation, refactoring, test creation)
workflow automation and triage support
Develop hybrid systems combining LLMs with classical ML (predictive/prescriptive models)



for robust performance on healthcare use cases
Core Data Platform Integration
Implement AI solutions tightly integrated with the Core Data Platform (curated datasets, standardized semantics, governed access, reusable components)
Partner with data engineering/platform teams to implement scalable patterns for:
secure tool-calling and controlled data access
retrieval / grounding patterns (enterprise search, knowledge bases, curated datasets)
reusable agent skills and shared libraries
Model / Agent Lifecycle Ownership
Own end to end delivery: problem framing - data readiness - prototyping - evaluation - production deployment - monitoring and iteration
Build and maintain evaluation frameworks for LLM and agent behavior (quality, hallucination risk, safety, latency, and cost)
Implement drift and behavior monitoring for models and agents; create feedback loops and runbooks to maintain performance over time
Ensure p

📌 Principal Data Scientist Bengaluru
🏢 Optum
📍 Bengaluru