Ph.D. Research Data Scientist, GenAI
Core
Leading research and development of Generative AI and Agentic AI solutions to transform risk management, underwriting, claims automation, and customer servicing in the insurance industry.
Role type
Ph.D. Research Data Scientist (GenAI & Agentic Systems)
Builds
Enterprise-level Agentic AI solutions, novel LLM architectures, and strategic GenAI capabilities for insurance operations.
Domain
Insurance / Generative AI / Agentic AI / Reinforcement Learning
Deliverable
production ML models | research | product features
Required skills
Agentic AI system design and optimization, Model Context Protocol (MCP) server implementation, Reinforcement Learning (RL), Retrieval-Augmented Generation (RAG), Knowledge Graph construction, LLM architecture design, fine-tuning, RLHF, scientific research methodology, autonomous system development
Preferred skills
Palantir platform experience, publications in GenAI or Agentic AI
Technologies
CrewAI, LangChain, Claude Agent SDK, MCP servers, LLMs, multi-modal models
Responsibilities
Design and implement novel algorithms and architectures for LLMs and multi-modal models; define and drive long-term research vision and strategy for GenAI; build enterprise-level Agentic solutions to automate complex workflows; translate research into practical solutions for underwriting and claims; collaborate with cross-functional teams to distill research findings into actionable insights.
Seniority
Senior, hands-on IC with research leadership
