Data Scientist

London, United Kingdom
3 weeks ago
£45,000 – £50,000 pa
Applications closed

Related Jobs

View all jobs
Spotlight

Forward Deployed Engineer

SolveAI London, United Kingdom
Hybrid

Data Scientist

Faculty AI London, United Kingdom
Hybrid Clearance Required

Data Scientist

PhysicsX London, United Kingdom
Hybrid

Data Scientist, Safety

OpenAI London, United Kingdom
Hybrid

Data Scientist, Core Experimentation

OpenAI United Kingdom
Hybrid

Data Scientist, Integrity Measurement

OpenAI London, United Kingdom
Hybrid

Data Scientist, Antibody Design (12-month

Relation Therapeutics London, United Kingdom
On-site

Salary

£45,000 – £50,000 pa

Job Type
Permanent
Work Location
Hybrid
Seniority
Mid
Education
Masters
Posted
30 Apr 2026 (3 weeks ago)

Benefits

Hybrid working with 1 to 2 days per week in the London office Exposure to a wide range of pricing and modelling projects with real commercial impact Strong learning culture with support, mentorship, and clear development pathways

Data Scientist
London hybrid (1 to 2 days in the office) | £45,000 to £50,000 + benefits
Must have a masters in Maths or Physics from a Russell Group University
No sponsorship.

This is an opportunity to join a fast-growing insurance business at a pivotal stage of its UK expansion. You will sit in a highly analytical pricing and underwriting team, working on commercially critical models that directly influence pricing strategy, customer behaviour, and market competitiveness. The role offers strong ownership, rapid learning, and clear progression in a business that invests heavily in developing its data talent.

The Company

They are a European insurance provider operating in a highly competitive market, known for using data and technology as a core differentiator. Having achieved significant scale in their home market, they are now expanding rapidly across Europe with strong financial backing and ambitious growth plans. The culture is fast paced, highly data driven, and focused on building advanced analytical capability ahead of the market. They place particular emphasis on developing high-potential individuals and giving them exposure to meaningful, business-critical work.

The Role

  • Work within the pricing and underwriting function to improve price accuracy and competitiveness
  • Build and develop predictive models to better understand risk, customer behaviour, and pricing sensitivity
  • Explore and integrate new data sources to enhance existing pricing and risk models
  • Simulate customer behaviour, such as claim likelihood and response to pricing changes
  • Translate analytical insights into practical recommendations that support new business growth
  • Collaborate closely with other data scientists, machine learning engineers, and stakeholders across the business

Your Skills & Experience

  • Strong academic background in a quantitative subject such as Mathematics or Physics
  • Excellent logical reasoning and problem-solving ability
  • Experience applying data science or modelling techniques in a commercial environment, or strong academic project experience
  • Python experience is essential, with openness around other tools and technologies
  • Ability to communicate complex ideas clearly and reason through problems out loud
  • Motivated, curious, and keen to develop quickly in a demanding analytical environment

What They Offer

  • Salary from £45,000 to £50,000 for strong Master's graduates
  • Hybrid working with 1 to 2 days per week in the London office
  • Exposure to a wide range of pricing and modelling projects with real commercial impact
  • Strong learning culture with support, mentorship, and clear development pathways
  • Opportunity to join a growing UK analytics function within a well-funded, high-growth business

How to Apply

If you are interested in this Data Scientist role and want to find out more, please apply!

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise AI Jobs in the UK (2026 Guide)

Where to advertise AI jobs UK in 2026: the specialist boards and communities that reach AI engineers, ML scientists and applied research talent in the UK. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

AI Jobs UK 2026: What to Expect Over the Next 3 Years

AI Jobs UK 2026: roles, salaries and the generative AI, machine learning and applied AI hiring trends shaping UK artificial intelligence careers. Artificial intelligence is creating jobs faster than the market can name them. New roles are appearing every quarter, existing titles are splitting into specialisms, and the technologies underpinning it all are evolving at a pace that makes even last year's job descriptions feel dated. For job seekers, this presents a genuinely unusual challenge. In most industries, career planning means understanding a relatively stable landscape and working out where you fit within it. In AI, the landscape itself is being redrawn in real time. The roles with the most hiring activity in 2028 may not yet have a widely agreed job title in 2026. That's not a reason to feel overwhelmed — it's a reason to get informed. The candidates who thrive in this market aren't necessarily those with the longest CVs or the most credentials. They're the ones who understand the direction of travel: which skills are gaining value, which technologies are driving employer decisions, and how the definition of an "AI job" is expanding well beyond the tech sector. This article breaks down what the UK AI jobs market is likely to look like over the next three years — covering emerging job titles, the technologies reshaping hiring, the skills employers are prioritising, and how to position yourself ahead of the curve rather than behind it.