Reed

Data Scientist

Harnham - Data & Analytics Recruitment
London, UK
£40,000 – £60,000
about 15 hours ago
hybrid

Skills & Technologies

PythonQuantitativeData ScienceCustomer AcquisitionTrainingProblem SolvingPricing

Job Description

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.

Company & Role Analysis

JobSeeker+
Likely perks
Private MedicalPension25+ Days HolidayStock OptionsLearning BudgetFlexible Hours
Culture & working style

Neutral 2–4 sentence summary of what working at this company is like, drawn from public reviews and press coverage. Tone, collaboration style, pace, benefits highlights.

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