Gravitas Recruitment Group (Global) Ltd
Graduate Pricing Data Scientist
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Graduate Pricing Data Scientist
We're looking for a Graduate Pricing Data Scientist (or with up to 1 year of industry experience in a non-life actuarial or pricing role) to help establish and shape pricing capability within a technology-led insurance business operating in a highly data-driven sector. This is a rare opportunity to have a significant impact, designing core pricing infrastructure and influencing analytical strategy from an early stage.
They are an established insurer with ambitious plans to re-establish itself as the number one provider within its specialist markets. Significant investment in pricing, data science, and technology is creating an exciting environment for individuals who want to make a visible commercial impact.
You'll play a key role in supporting the Head of Pricing in building foundational pricing capability, combining data science, pricing analytics, and software engineering skills to create scalable solutions that directly influence commercial outcomes.
A major focus of the role will be supporting the designing and developing of a new in-house Python rating engine, alongside creating the data and modelling foundations required for long-term pricing sophistication.
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This position offers the chance to work across the full pricing lifecycle, from data preparation and model development through to optimisation and deployment
Key Responsibilities
- Build and enhance pricing data assets and analytical foundations.
- Design, develop, and maintain an in-house Python-based rating engine.
- Develop pricing models and analytical frameworks.
- Create new rating factors and conduct research and experimentation.
- Support pricing optimisation initiatives.
- Collaborate with technology, data, and business stakeholders.
- Help establish best practices for pricing analytics and model deployment.
About You
- A recent graduate in Actuarial Science, Mathematics, or another highly numerate discipline (a minimum grade A or B obtained in your degree, together with a grade A in A-Level Mathematics); or
- Someone with up to 12 months of relevant insurance experience in an actuarial, pricing, or data analytics role (including the above-mentioned academic grades).
- Have strong analytical and problem-solving skills, that can demonstrate practical experience with Python and/or SQL.
- Communicate confidently and enjoy working with colleagues across different teams.
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We're interested in candidates who combine strong technical capability with commercial thinking.
Desirable Experience
- Knowledge of model deployment, MLOps, or production analytics.
- Familiarity with rating engines or pricing systems.
- Experience developing customer value, behavioral, or risk models.
What's on Offer
- Salary range is from £35,000 up to c.£45,000.
- Private medical insurance and pension.
- Dedicated training and development; support towards qualifying as an actuary is available, if desired.
- Opportunity to influence the direction of a growing pricing function, as well as having exposure to senior stakeholders across the business.
If you enjoy solving complex problems, building scalable solutions, and creating pricing capability from the ground up, we'd love to hear from you.
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