Data Scientist

Data Scientist – Applied AI (Commercial Insurance) London / Hybrid £85-100k + equity options Our client is a fast-growing AI startup building next generation decision intelligence tools for the commercial insurance market. Their flagship platform analyses complex claims to identify leakage, litigation risk, fraud indicators, coverage issues and operational weaknesses — turning unstructured documents into structured, actionable insight. They operate at the cutting edge of applied GenAI, working direly with insurers, managing agents and TPAs in the Lloyd's and US markets. This is a hands-on, high-impact role in a fast, iterative startup environment. What You'll Be Doing Designing and iterating LLM prompt pipelines (claims summarisation, audit, fraud/leakage detection, coverage checks) Working directly with long, unstructured claim documents (PDFs, reports, adjuster notes) Building evaluation frameworks to validate AI outputs against real evidence Identifying hallucinations, bias and gaps in reasoning Writing Python for data pipelines, orchestration and evaluation Querying Postgres, working in Azure environments, using GitHub Supporting client pilots and translating feedback into product improvements Using AI coding tools (Copilot, Cursor, LLMs) to accelerate development What We're Looking For

• Strong Insurtech/insurance experience within a startup/greenfield environment as a hands on
• Data Scientist.
• Hands on experience working with LLMs or prompt-driven systems in production
• Comfortable with Git, SQL (Postgres) and cloud environments (Azure )
• Client-facing technical roles or implementations