Product Data Scientist

Salary: £45,000 - 83,000 per year

Requirements:

• Proven experience in a similar data science or product analytics role, preferably in a high-growth tech environment
• Excellent SQL data interrogation skills and the ability to write, read, and iterate on Python scripts for data science analyses
• Good understanding of foundational data science concepts, such as statistics, clustering, and basic NLP workflows
• Strong analytical ability to turn operational problems into structured, data-informed solutions
• Clear, precise communication skills, including the ability to explain insights and analytical reasoning to non-technical stakeholders

Responsibilities:

• Build experiments and analysis frameworks to measure operational efficiency and the ROI of software releases and internal tooling updates across our Platforms and SMB domain
• Collaborate with Data Analytics Engineers and Software Engineers to ensure we collect and model the data needed for reliable business insights
• Apply statistical modeling and exploratory data analysis to identify bottlenecks and drop-off points in the merchant onboarding journey
• Share insights that help Product Managers prioritize onboarding automation initiatives
• Design and run proof-of-concept machine learning models and heuristic solutions to assess proposed onboarding automations before engineering implementation
• Work with product managers, designers, software engineers, and analytics engineers to use data to inform product strategy for our Activation, Risk, and Configuration products

Technologies:

• Support
• Machine Learning
• Python
• SQL
• SMB
• Network

More:

Were Checkout.com, a global payments technology company powering digital experiences for businesses including eBay, Spotify, Klarna, Uber, and Sony. Our platform enables more than 10 billion transactions each year for over one billion shoppers. As a Product Data Scientist, youll focus on our Platforms and SMB domain, helping optimize merchant onboarding and scale predictive automation. Youll join a visible Data Analytics function and receive support from Senior Data Scientists, Analytics Engineers, and Data Product Managers. We offer meaningful work, ownership, opportunities for growth, and an inclusive workplace. Our hybrid model includes three days per week in the office to support collaboration. The role is based in London and is full-time.

last updated 40 week of 2026