Data Scientist
UK Visa Sponsorship Analytics
Occupation TypeActuaries, economists and statisticians
Occupation Code Skill LevelHigher Skilled
Sponsorship Salary Threshold
£55,100
(£28.26 per hour)
Occupation rate applies
Above analytics are generated algorithmically based on job titles and may not always be the same as the company's job classification. You can also check detailed occupation eligibility, and salary criteria on our UK Visa Eligible Occupations & Salary Thresholds page.
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Description
Data Scientist
Salary
£60,000 - £90,000 + Bonus + Pension
Location + work pattern
London - Hybrid working (1-2 days per week remote)
THE COMPANY
This role sits within the pricing and underwriting analytics function, applying data science to optimise pricing strategy and improve market competitiveness. You will work on complex, real-world problems with clear commercial impact.
Specifically, you can expect to be involved in:
Salary
£60,000 - £90,000 + Bonus + Pension
Location + work pattern
London - Hybrid working (1-2 days per week remote)
THE COMPANY
- A well-funded, technology-led insurance business operating across multiple European markets.
- Known for a highly data-driven culture and strong investment in analytics and engineering.
- Experiencing rapid growth in the UK, with analytics at the core of commercial decision-making.
This role sits within the pricing and underwriting analytics function, applying data science to optimise pricing strategy and improve market competitiveness. You will work on complex, real-world problems with clear commercial impact.
Specifically, you can expect to be involved in:
- Developing and enhancing predictive models used within pricing and risk frameworks.
- Exploring and integrating new data sources to improve model performance.
- Simulating and analysing customer behaviour, including price sensitivity and risk outcomes.
- Collaborating closely with analytics, engineering and wider commercial teams to deliver insight.
- Strong quantitative background (e.g. Mathematics, Physics or similar) from a top univeristy is a must.
- Experience using Python for data analysis or modelling, or strong academic exposure.
- Ability to approach problems logically, explaining reasoning clearly and methodically.
- Hands-on data science or modelling experience in a retail insurance environment.
- Clear communication skills and motivation to work in a fast-paced, high-expectation setting.
- Competitive salary aligned to experience and seniority.
- Hybrid working model with flexibility built in.
- High level of ownership and exposure to meaningful projects.
- Initial CV review followed by a take-home mathematical and logic-based assessment.
- Short introductory interview focused on motivation and role fit.
- In-depth technical interview centred on reasoning, problem-solving and applied thinking.
- Final-stage competency-based interview.
- Offer!
Please register your interest via the apply link on this page.