Data Scientist

Data Scientist – Technical Risk Pricing (Insurance) £55,000–£80,000 Benefits | Hybrid (2 days in London office max) Location: London (near Liverpool Street) Sector: Insurtech | Risk Pricing & Claims Modelling Join a well-backed, growing insurtech on a mission to reimagine how insurance pricing is done. This business is building out a cutting-edge risk modelling function—and they’re hiring their first Data Scientist in pricing to help lead the charge. You’ll work directly with the Pricing & Data Science Manager , taking full ownership of pricing algorithm design, risk modelling, and technical rate setting. This is a high-impact role offering strong autonomy, a supportive team, and the opportunity to shape the pricing function from the ground up. What you’ll be working on: Designing and deploying machine learning models to price technical risk and claims Modelling claims data to improve rate accuracy and reduce customer churn Working across third-party and low/no-code platforms to streamline pricing tools Supporting the wider data team and collaborating closely with underwriting and product Building clean, scalable solutions using Python, SQL, and modern ML frameworks ✅ What we’re looking for: 2 years’ experience in a data science or pricing role within insurance Strong skills in Python, SQL , and ML libraries such as scikit-learn or XGBoost Proven experience modelling claims, risk, or technical pricing Confident working independently and comfortable shaping processes from day one Bonus: experience with low/no-code pricing tools or supporting data engineering work The setup: Hybrid: 2–3 days/week in their central London office (Liverpool Street) Interview process: 2 stages – virtual 1-to-1, followed by senior stakeholder session September start date is fine for candidates with notice periods You'll be part of a supportive, collaborative team with plenty of projects ready to go