Data Scientist Python SQL Mathematics
Key details
- Compensation
- $40,000 - $70,000
Job Description
Salary: £40,000 - 70,000 per year
Requirements
- We are looking for a degree-educated candidate in a relevant discipline such as Mathematics, Statistics, or Economics.
- We require study to MSc level at a world-class university, for example a Russell Group institution.
- We need experience or strong skills in data modelling and predictive analysis.
- We require Python and SQL programming skills.
- We are looking for strong analysis and problem-solving abilities.
- We value a collaborative, motivated approach and a willingness to learn.
Responsibilities
- We will have our Data Scientist join our Pricing Engine team.
- We will focus on data modelling and predictive analysis to deliver solutions that meet business needs.
- We will develop best practices as part of our work.
- We will collaborate on problem-solving within a supportive Agile team.
- We will report into the Head of Pricing.
Technologies
- Support
- Python
- SQL
More
We are a hugely successful European car insurance tech company expanding our UK presence. This is a Data Scientist role based in London with mainly remote working and flexible hours, including around one day a week in the London office. We offer a competitive package of up to £60k, a workplace nursery scheme, enhanced maternity package, 25 days holiday with the option to buy or sell 5 days per year plus an extra duvet day, pension, private medical and dental insurance, life assurance, employee assistance programme, weekly yoga, monthly acupuncture sessions, Headspace membership, and a diverse, inclusive team environment with support networks including Women in Technology groups, plus perks such as Perkbox, cycle to work, and season ticket loan.
last updated 35 week of 2026
Company & context
Evidence is labeled so you can tell internal community data from public sources.
Range from 31 indexed roles at this employer: $40,000 - $100,000(mid ~78548)
Context reflects data collected at crawl time.
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