Pricing Data Scientist
Key details
- Compensation
- $60,000
Job Description
Salary: £60,000 - 60,000 per year
Requirements
- Experience within insurance pricing
- Strong machine learning and predictive modelling experience
- Python skills
- Strong statistical and mathematical knowledge, including GLMs, regression, hypothesis testing and time-series
- Understanding of customer behaviour, pricing elasticity and price optimisation
- Protection insurance experience preferred, including term assurance, critical illness or income protection
- Strong communication and stakeholder management skills
Responsibilities
- Build and deploy pricing, demand, lapse, cross-sell and optimisation models
- Lead strategic pricing initiatives and deliver tactical solutions to support business performance
- Partner with Product, Protection and Distribution teams to drive pricing improvements
- Apply machine learning and statistical techniques to solve complex business problems
- Communicate technical insights to both technical and non-technical stakeholders
Technologies
- Support
- Machine Learning
- Python
More
We are a well-established protection insurance provider offering a fully remote role with optional offices in Brighton or Cambridgeshire. This is a 12-month fixed-term contract with a very likely path to become permanent, offering a salary of up to £60k. The role sits at the intersection of data science, pricing and insurance, and is highly commercial in nature, with the opportunity to shape pricing strategy, trading performance, customer outcomes and strategic decision-making across a range of protection products. We welcome applications from pricing data scientists and candidates with an actuarial background.
last updated 24 week of 2026
Company & context
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Range from 17 indexed roles at this employer: $41,000 - $100,000(mid ~74706)
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Source: DevITJobs • Last updated Jun 12, 2026