Tharu Technologies LLC is seeking a seasoned Lead Data Scientist to spearhead AI and machine learning initiatives for their insurance operations. The role involves designing, developing, and deploying advanced GenAI solutions to optimize various insurance processes while leading a team and integrating AI into production systems.
Responsibilities:
- Design and implement RAG systems and Agentic AI workflows using prompt engineering, fine-tuning of LLMs, and frameworks like LangGraph/LangChain to automate insurance processes such as policy binding and claims adjudication
- Develop autonomous AI agents for tasks like real-time risk scoring and customer query resolution
- Evaluate LLMs for accuracy, bias mitigation, and alignment with insurance regulations (e.g., IRDAI compliance)
- Architect, build, and refine ML/GenAI models (traditional and generative) to tackle insurance challenges like predictive analytics for market risk, anomaly detection in claims, and isolation forests for fraud
- Deploy scalable models in production on AWS/Azure/GCP
- Optimize models using performance metrics, feedback loops, and A/B testing for cost-efficiency and reliability
- Lead cross-functional teams to integrate AI into existing workflows, enhancing efficiency in underwriting, binding authority, and operations
- Develop robust benchmarks, evaluation metrics, and monitor model drift/bias in large insurance datasets
- Stay ahead of AI advancements, mentoring juniors and presenting insights to stakeholders