> Markdown version of [/jobs/ext/3135372-product-data-scientist-london](https://www.wearedevelopers.com/jobs/ext/3135372-product-data-scientist-london). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Product Data Scientist London - **Company:** Checkout.com - **Location:** London, UK - **Contract:** Permanent contract - **Skills:** Data Analysis, BASIC (Programming Language), Cluster Analysis, Machine Learning, SQL Databases, Working Model 2D, Data Analytics, Machine Learning Operations - **Published:** September 29, 2026 - **Apply:** https://www.apply4u.co.uk/jobs/product-data-scientist-london/49128593 ## About the Role and ROI of new software releases and internal tooling updates for the Platforms & SMB domain. Data Partnerships: Work closely with Data Analytics Engineers and Software Engineers to ensure we log and model the right data to produce high-integrity business insights. Data-driven automations and solutions: Apply statistical modeling and exploratory data analysis to identify bottlenecks and drop-off points across the merchant onboarding journey, delivering insights to help Product Managers prioritize automation initiatives. Design and run proof-of-concept (PoC) machine learning models and heuristic solutions to evaluate the feasibility of proposed onboarding automations before engineering handoff for implementation. What We're Looking For Experience: Proven experience in similar data science or product analytics roles and in a high-growth tech environment Technical foundations: Excellent data interrogation skills with SQL and the ability to comfortably write, read, and iterate through Python scripts to run data science analyses. Foundational ML knowledge: A good understanding of foundational data science concepts (e.g., statistics, clustering, basic NLP workflows). You do not need experience deploying ML models to production, but you should understand how to apply them to data tasks. Analytical Mindset: A strong analytical mind with a demonstrable ability to take operational problems and convert them into structured, data-informed solutions. Communication: Clear and precise communicator, able to explain data insights and analytical logic to non-technical stakeholders (Product Managers and Operations teams). Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you'll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It's a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you're ready to grow and make a difference, you'll be right at home here. It's important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. 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