Company Description
We’re Checkout.com – you might not know our name, but companies like eBay, ASOS, Klarna, Uber Eats, and Sony do. That moment when you check out online? We make it happen.
Checkout.com is where the world checks out. Our global network powers billions of transactions every year, making money move without making a fuss. We spent years perfecting a service most people will never notice. Because when digital payments just work, businesses grow, customers stay, and no one stops to think about why.
With 19 offices spanning six continents, we feel at home everywhere – but London is our HQ. Wherever our people work their magic, they’re fast-moving, performance-obsessed, and driven by being better every day. Ideal. Because a role here isn’t just another job; it’s a career-defining opportunity to build the future of fintech.
Job Description
As a Product Data Scientist, you'll work as part of a cross-functional team alongside product managers, designers, and software and analytics engineers, using data and your expertise to influence and drive the strategy of our products. You'll help define how we measure the success of our products, collaborate with engineers on how we collect data, design and help build reports/dashboards, and run analyses to find product improvement opportunities. You'll be a co-owner of a product, driving it to success in partnership with other cross-functional team members.
Data Analytics at Checkout.com is a highly visible function that critically impacts the company’s success. It underpins our business plans and forms the basis for how we set our company objectives. As a leader in this group, you'll have a wider support network of Analytics Engineers, Product Data Scientists, and Data Product Managers.
You'll be responsible for driving analytics of a product pillar. You'll lead a team that defines, measure, and present metrics, deliver actionable insights
Contribute product roadmaps through data-based recommendations and continuously define high-impact areas for improvement
Working closely with Data Analytics Engineers and Software Engineers to make sure we collect and model the right data to produce relevant business insights
Foster data culture across products and technology by actively sharing insights and ideas and building positive relationships with colleagues
Build experiments and analysis frameworks to quantify the ROI of product development
Lead by example your team and the broader data community to apply best practices in analytics from data collection to analysis
What we’re looking for:
Strong communicator, you're able to explain complex technical topics to non-technical team members
Strong analytical mind and demonstrable experience in converting ambiguous problems into structured and data-informed solutions
Excellent data interrogation skills with SQL
Knowledge of applied statistics (e.g. hypothesis testing, regression)
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.
Curious about what it’s like to be part of our team? Visit our Careers Page to learn more about our culture, open roles, and what drives us.
For a closer look at daily life at Checkout.com, follow us on LinkedIn and Instagram
