Cornucopia IT Resourcing

Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist – Applied AI (Commercial Insurance) on a temp-perm contract in London/Hybrid, offering a competitive pay rate. Key skills include strong data science experience, insurance knowledge, LLMs, Python, SQL, and Azure.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
February 19, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Data Science #GIT #Python #GitHub #Data Pipeline #Azure #SQL (Structured Query Language) #Cloud #AI (Artificial Intelligence)
Role description
CONTRACT Senior Data Scientist – Applied AI (Commercial Insurance) Temp - perm 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. 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 • Strong insurance and startup/greenfield experience • Comfortable with Git, SQL (Postgres) and cloud environments (Azure a plus) • Experience working with LLMs or prompt-driven systems in production