Senior Data Scientist – Applied AI (Commercial Insurance)
London / Hybrid
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. Working alongside high‑performing AI innovators to deliver real‑world benefits from the latest trends in AI for the global insurance industry.
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 hands‑on data scientist experience within startup/greenfield environments
- Must have an insurance sector background
- Experience working with LLMs or prompt‑driven systems in production
- Must have Azure experience
- Strong academic background in a mathematics based discipline
Senior Data Scientist – Applied AI (Commercial Insurance)
London / Hybrid
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. Working alongside high‑performing AI innovators to deliver real‑world benefits from the latest trends in AI for the global insurance industry.
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 hands‑on data scientist experience within startup/greenfield environments
- Must have an insurance sector background
- Experience working with LLMs or prompt‑driven systems in production
- Must have Azure experience
- Strong academic background in a mathematics based discipline
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