About this role
The Pricing Data Scientist role at Affordable Car & Home Insurance is a hybrid position based in London, offering a unique opportunity for data professionals to drive financial growth and business strategy. This role suits proactive, commercially minded experts who want to build advanced in-house pricing models and shape the future of a unicorn financial services provider.
Role Overview
Operating within the pricing department and reporting directly to the Pricing Data Science Manager, this position focuses on managing loss ratios, optimizing brokers, and hitting company growth targets. The team operates differently from standard corporate pricing units, emphasizing high-frequency rate changes, rapid execution, and modern data science techniques rather than repetitive tasks. Professionals joining this team receive access to massive datasets, rich third-party API integrations, and the autonomy to test creative ideas with strong leadership support.
Key Responsibilities
Requirements
Skills and Tools
Salary and Benefits
About the Company
Affordable Car & Home Insurance, operating as Marshmallow, launched in 2017 with a mission to make migration easy and has since expanded to over 700 employees. The company achieved unicorn status, raised approximately £140 million across multiple funding rounds, achieved profitability, and insured millions of drivers. Marshmallow fosters a collaborative, autonomous work environment where curious and tenacious individuals work together to build one of the largest financial services providers globally.
How to Apply
Candidates interested in this position should apply directly on the official company careers page.
Skills and tech stack
Questions candidates ask
Where is the Pricing Data Scientist role located?
The role is based in London with a hybrid working model requiring 2 to 3 days in the office per week.
What technical skills are required for this job?
Applicants must be able to interrogate data and conduct pricing analysis within SQL and Python or R, as well as build GLMs, GBMs, and claims models.
How much experience is needed to apply?
Candidates must have at least 3 years of experience working in a data-driven or commercial role.
What benefits are provided with this position?
Benefits include a performance bonus, Vitality private medical insurance, Oliva mental health support, a personal learning budget, flexible benefits, 25 days holiday plus bank holidays, and 4 weeks of Work From Anywhere per year.
Is visa sponsorship available?
Yes, visa sponsorship is available for this position.
The application is on the official Affordable Car & Home Insurance careers page.
Apply on company site