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