Senior Pricing Data Scientist at Homeprotect
United Kingdom
Posted
on-site · full_time · Visa sponsorship
Apply for this role at Homeprotect
Responsibilities:
- Improve, maintain and validate conversion-rate and price-elasticity models to predict likelihood-to-buy across price points.
- Combine internal data and external market premium datasets to build market-position and competitor models that inform pricing decisions.
- Design experiments and run tests in the in‑house Python pricing system to iterate pricing rules, commissions and deployable strategies.
- Translate model outputs into actionable price recommendations targeting sold Lifetime Value (LTV) vs. sales share trade-offs.
- Collaborate closely with the Trading/Retail Pricing team to operationalise models and monitor live performance.
- Document modelling approaches, assumptions and versioning so the team can safely test and revert ideas.
Requirements:
- Proven experience (≈4+ years) in personal-lines insurance pricing, conversion or market modelling.
- Strong Python and SQL skills; ability to productionise models and work inside a Python-based pricing stack.
- Solid statistical modelling knowledge (elasticity, causal inference or probabilistic models) and experience with A/B or test-and-learn frameworks.
- Numerate degree (e.g. statistics, maths, economics, engineering) and strong data manipulation/visualisation skills.
- Pragmatic problem-solver with clear communication skills and ability to work cross-functionally.