Data Scientist (Salisbury)

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