Data Scientist – Applied AI (Commercial Insurance)London / Hybrid£80-95k 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 directly 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 DoingDesigning 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 evidenceIdentifying hallucinations, bias and gaps in reasoningWriting Python for data pipelines, orchestration and evaluationQuerying Postgres, working in Azure environments, using GitHubSupporting client pilots and translating feedback into product improvementsUsing AI coding tools (Copilot, Cursor, LLMs) to accelerate developmentWhat We’re Looking ForStrong hands on data scientist experiencePrevious insurance and startup/greenfield experienceComfortable with Git, SQL (Postgres) and cloud environments (Azure a plus)Experience working with LLMs or prompt-driven systems in production