Data Scientist / Engineer (Healthcare Payment Integrity)
AI summary of the role
This role is a full lifecycle Data Scientist/Engineer on the US Health Payment Integrity roadmap, building and productionizing LLM and multi-modal pipelines for claims and document understanding.
What you’ll do
- Build and productionize data pipelines (structured, text, documents, images) optimized for LLMs and multi-modal models.
- Design, develop and deploy LLM-based solutions (RAG, embeddings, instruction tuning) for claims handling and document understanding.
- Experiment with Agentic AI technologies (Langchain/Langgraph, OpenAI Agent SDK, MCP, A2A) and develop MVP for payment integrity solutions.
- Establish rigorous evaluation frameworks (LLM-as-a-judge) to ensure unbiased, legally sound, and explainable agent decisions.
What you’ll bring
- 3+ years of Data Science and Healthcare Insurance Payment Integrity experience.
- Expert proficiency in production-level object-oriented programming (OOP).
- Proven hands-on experience with LLMs and generative AI (RAG, embeddings, prompt engineering, model tuning) using OpenAI/Anthropic or open-source variants.
- Experience designing and implementing robust data pipelines for document, OCR, and multi-modal data workflows.
Technologies
LLM · RAG · embeddings · LangChain · LangGraph · OpenAI Agent SDK · MCP · A2A · Databricks · MLflow · Mosaic AI · Unity Catalog
About Shift Technology
Builds insurance-specific AI software for fraud, underwriting, claims, payment integrity, and cross-carrier intelligence used by major global insurers.
Series D
Source and classification
Production engineering · Evidence for this classification:
world. Our Data Scientists work in a full lifecycle role and on a broad range of subjects acquiring extensive technical and professional experience in data science, data engineering, coding, business understanding and client engagement. Our company is small enough that each person’s achievements have an impact on our overall performance, yet big enough to be a world leader and innovator in our domain. As a member of the data science team, you will be working alongside our technical experts and your role will be key to rolling out our enterprise level solutions to our clients. Key Responsibilities Your role will be to actively contribute to the US Health roadmap and clients, and working on various data types such as structured claims data, free text, documents and images. Build and productionize data pipelines (structured, text, documents, images) optimized for LLMs and multi-modal
More from the job description
Shift delivers AI agents that transform insurers' most critical work. By combining deep industry expertise and unmatched data resources, Shift provides proven results that have earned the trust of hundreds of the world's leading insurers. Our insurance-grade AI is accurate, explainable, and secure—empowering human experts to move with unmatched speed, total confidence, and a renewed focus on the people they serve. Your browser does not support the video tag. Our culture is built on innovation, trust, and a drive to transform the insurance industry through our SaaS platform. We come from more than 50 different countries and cultures and together we are creating the future of insurance. Learn more at www.shift-technology.com About the Team This role is part of our Data Science team which is the largest team in our organization consisting of over 200+ Data Scientists throughout the world. Our Data Scientists work in a full lifecycle role and on a broad range of subjects acquiring extensive technical and professional experience in data science, data engineering, coding, business understanding and client engagement. Our company is small enough that each person’s achievements have an impact on our overall performance, yet big enough to be a world leader and innovator in our domain. As a member of the data science team, you will be working alongside our technical experts and y [... source excerpt omitted ...] will be to actively contribute to the US Health roadmap and clients, and working on various data types such as structured claims data, free text, documents and images. Build and productionize data pipelines (structured, text, documents, images) optimized for LLMs and multi-modal models. Design, develop and deploy LLM-based solutions (RAG, embeddings, instruction tuning) for claims handling, document understanding, and related use cases. Experiment with the latest in Agentic AI technologies (Langchain/Langgraph, OpenAI Agent SDK, MCP, A2A) and develop MVP for the next generation of payment integrity solutions. Create custom "tools" for the agent, allowing it to query internal d [... source excerpt omitted ...] nsure the agent’s decisions are unbiased, legally sound, and explainable. Ensure responsible-AI practices: privacy, hallucination mitigation, explainability and compliance. Lead client workshops, present prototypes, gather feedback and help define roadmap priorities. WHAT WE ARE LOOKING FOR We are looking for candidates with 3+ years of Data Science and Healthcare Insurance Payment Integrity experience with diverse skills to help us build excellent technology solutions for our clients and be proficient in the following skills: Expert proficiency in production-level object-oriented programming (OOP) for building scalable and reliable systems. Proven hands-on experience wit
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