Data Scientist

Data Scientist London – 2x a week The Company They are a rapidly scaling European insurer with a strong track record of growth and significant external investment. Their operating model is highly data driven, with advanced analytics underpinning pricing and underwriting decisions. The business fosters a high performance culture and invests heavily in developing talent, particularly individuals with strong academic foundations and high potential. Their UK presence is a key strategic focus, with continued expansion of their analytics function.

The Role You will sit within the pricing and underwriting data science team, working on core modelling challenges that directly influence commercial performance.

Responsibilities include: Developing and improving pricing models to optimise competitiveness in the market Identifying and integrating new data sources into modelling approaches Building predictive models to simulate customer behaviour and risk outcomes Enhancing tariff structures and pricing strategies using advanced analytics Collaborating with cross functional teams to drive customer acquisition and growth Applying logical reasoning and structured thinking to complex business problems Your

Skills and

Experience Strong academic background in Mathematics, Physics or a related quantitative discipline Proven ability to apply data science or statistical modelling techniques in a commercial or academic setting Proficiency in Python or strong capability to learn quickly Excellent problem solving

skills , with an ability to think logically and communicate reasoning clearly Motivated, intellectually curious, and comfortable working in a fast paced environment For experienced candidates, commercial exposure to modelling in any industry is welcomed What They Offer Hybrid working with a London base Clear progression opportunities in a scaling analytics team Exposure to impactful, end to end data science projects A high performance environment with strong investment in training and development How to Apply Please apply with your CV to be considered for this opportunity.