Data Scientist / Engineer (Healthcare Payment Integrity)

About the role

As a Data Scientist/Engineer on the large (200+ members) Data Science team, you will drive the US Health payment‑integrity roadmap, building multi‑modal data pipelines and LLM‑based solutions, experimenting with agentic AI, and leading client workshops to shape product direction.

About the company

Shift delivers AI agents that transform insurers' critical work through a SaaS platform, offering accurate, explainable, and secure insurance‑grade AI. The company emphasizes innovation, trust, and a diverse, global culture with employees from over 50 countries, positioning itself as a world‑leader and innovator in the insurance industry.

Requirements

• 3+ years experience in data science and healthcare insurance payment integrity
• Expert proficiency in production‑level object‑oriented programming (OOP) for scalable systems
• Hands‑on experience with large language models and generative AI (RAG, embeddings, prompt engineering, model tuning) using OpenAI/Anthropic or open‑source variants
• Strong foundation in ML fundamentals and full ML lifecycle (evaluation, monitoring, versioning, deployment)
• Experience designing and implementing robust data pipelines for document, OCR, and multi‑modal data workflows
• Experience with agentic frameworks such as LangChain/LangGraph, OpenAI Agent SDK, CrewAI, A2A/MCP integrated with Databricks or Azure‑hosted models
• Ability to engage with clients, translate business needs into technical solutions, and manage stakeholder expectations
• Deep expertise in Databricks ecosystem: Mosaic AI, Unity Catalog, Delta Lake; Spark architecture knowledge a plus
• Experience using MLflow for experiment tracking, prompt engineering in AI Playground, and model evaluation