About this role
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 environmentExcellent SQL data interrogation skills and the ability to write, read, and iterate on Python scripts for data science analysesGood understanding of foundational data science concepts, such as statistics, clustering, and basic NLP workflowsStrong analytical ability to turn operational problems into structured, data-informed solutionsClear, 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 domainCollaborate with Data Analytics Engineers and Software Engineers to ensure we collect and model the data needed for reliable business insightsApply statistical modeling and exploratory data analysis to identify bottlenecks and drop-off points in the merchant onboarding journeyShare insights that help Product Managers prioritize onboarding automation initiativesDesign and run proof-of-concept machine learning models and heuristic solutions to assess proposed onboarding automations before engineering implementationWork with product managers, designers, software engineers, and analytics engineers to use data to inform product strategy for our Activation, Risk, and Configuration products Technologies: SupportMachine LearningPythonSQLSMBNetwork 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