Senior Data Scientist – Generative AI & Insurance AnalyticsLondon (Hybrid) £85,000–£95,000 + equity potential/bonusAn innovative AI scale-up is transforming how commercial insurers extract intelligence from complex claims data. Backed by strong early growth, the business develops advanced decision-support tools that convert unstructured documentation into defensible, data-driven insight for global insurance clients.This is a senior, hands-on opportunity to help shape AI systems deployed in live underwriting and claims environments — working at the intersection of GenAI, analytics and real-world insurance risk.The RoleYou’ll play a key role in developing and refining LLM-driven workflows that analyse large, complex claims files — identifying leakage, litigation exposure, fraud signals and coverage inconsistencies.Responsibilities include:Designing and optimising prompt architectures for production-grade LLM systemsProcessing and structuring long-form, unstructured documents (PDFs, adjuster notes, legal reports)Building robust evaluation and validation frameworks to assess model accuracyDetecting hallucination, bias and reasoning gaps in AI outputsDeveloping Python-based data pipelines and orchestration workflowsWorking with Postgres databases and Azure cloud infrastructureCollaborating with clients during pilots and iterating rapidly based on feedbackLeveraging AI-assisted development tools to enhance delivery speed and qualityAbout YouProven experience as a hands-on Data Scientist in commercial environmentsStrong experience in the insurance sectorBackground in startup, scale-up or greenfield product environmentsSolid Python, SQL (Postgres) and Git skillsExperience deploying or evaluating LLM / prompt-based systems in productionComfortable operating in fast-paced, iterative build environmentsThis role offers the chance to influence both product direction and technical architecture in a high-growth AI business solving real industry problems.