(Senior) Pricing Data Scientist | £80-100k + Bonus | Hybrid in London
A rare chance to build risk-based pricing from scratch, with a direct line to senior leadership.
I’m partnering with a high-growth UK home services group on a newly created, greenfield hire. They’re looking for their first Pricing Data Scientist to introduce risk-based pricing into a market where most providers still price flat.
About my client
A fast-growing UK challenger operating across home cover, renewable installations and financing. Following a recent major acquisition, they’re entering a significant growth phase with fresh investment behind it. It’s a genuine inflection point, and they want someone who’ll help shape what comes next.
Why this role stands out
- Greenfield ownership: you’ll build the capability from the ground up, with strong support but no inherited template
- Visibility: your work feeds a group-level commercial programme with a material financial outcome, and you’ll present directly to senior leadership and a non-executive director who has built risk-based pricing at scale
- Impact: the models you build will shape pricing decisions across multiple brands
- Research-friendly: the client values raw quantitative ability, rigour and curiosity over years spent in a pricing job
What you’ll be doing
- Building risk-based pricing models using property, location, appliance age and enrichment data (credit, geospatial), with sensible guardrails such as caps and collars
- Designing and running their first price elasticity tests, starting with champion/challenger and holdout tests on renewals
- Building customer lifetime value models across brands, so pricing is driven by value rather than volume alone
- Establishing monthly backtesting, version-controlled code and documented methods, so pricing stands up to external review
- Evaluating and integrating third-party data sources, working with engineers to land them cleanly in the warehouse
- Presenting findings in plain English and helping leadership make trade-offs explicitly
What my client is looking for
- A PhD or equivalent research-level experience in maths, statistics, physics, computer science or a similar quantitative discipline
- Strong grounding in GLMs, experimental design and causal inference
- Clean, reproducible Python and confident SQL, with Git as a habit
- Commercial instinct and the ability to explain complex analysis simply
Nice to have: pricing or experimentation experience (insurance, gambling, price comparison, energy, subscriptions), LTV or survival modelling, credit/property/geospatial data, Bayesian methods
The role can pay between £80-100k DOE and includes a performance bonus. The role requires 2 days a week in central London.
(Senior) Pricing Data Scientist | £80-100k + Bonus | Hybrid in London
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Pricing Data Scientist in London employer: Oliver Bernard
At Oliver Bernard, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and the chance to work with cutting-edge technologies in a vibrant location. Join us to make a meaningful impact while enjoying a supportive environment that values your contributions.
