At a Glance
- Tasks: Drive product analytics, define success metrics, and collaborate with cross-functional teams.
- Company: Checkout.com, a leading fintech company transforming digital payments.
- Benefits: Flexible hybrid work model, competitive salary, and opportunities for personal growth.
- Why this job: Make a real impact in fintech while working with innovative data solutions.
- Qualifications: Strong analytical skills, experience with SQL, and excellent communication abilities.
- Other info: Join a supportive team culture that values diversity and personal development.
The predicted salary is between 36000 - 60000 £ per year.
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.
As a Product Data Scientist, you will 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 will 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 will 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 will have a wider support network of Analytics Engineers, Product Data Scientists, and Data Product Managers.
How you’ll make an impact:
- You will be responsible for driving analytics of a product pillar. You will lead a team that defines, measures, and presents metrics, delivering actionable insights.
- Contribute product roadmaps through data-based recommendations and continuously define high-impact areas for improvement.
- Work closely with Data Analytics Engineers and Software Engineers to ensure 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, 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.
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 will move fast, take on meaningful challenges, and be recognised for the impact you deliver. It’s a place where ambition meets 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.
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.
Product Data Scientist London employer: Checkout Ltd
Contact Detail:
Checkout Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Data Scientist London
✨Tip Number 1
Network like a pro! Reach out to current employees at Checkout.com on LinkedIn. A friendly message can go a long way in getting your foot in the door and showing your genuine interest in the role.
✨Tip Number 2
Prepare for the interview by brushing up on your SQL skills and data analysis techniques. Be ready to discuss how you've tackled ambiguous problems in the past and how you can bring that experience to the Product Data Scientist role.
✨Tip Number 3
Showcase your passion for fintech! Research Checkout.com’s products and think about how you can contribute to their success. Bring fresh ideas to the table during your interview to demonstrate your proactive approach.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team at Checkout.com.
We think you need these skills to ace Product Data Scientist London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Product Data Scientist role. Highlight relevant experience and skills that match the job description, especially your analytical skills and data interrogation abilities.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background makes you a perfect fit for our team at Checkout.com.
Showcase Your Data Skills: Since this role involves a lot of data work, be sure to include specific examples of how you've used data to drive decisions or improve products in your previous roles. We love seeing real-world applications!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!
How to prepare for a job interview at Checkout Ltd
✨Know Your Data
As a Product Data Scientist, you'll need to demonstrate your analytical skills. Brush up on SQL and be ready to discuss how you've used data to drive product decisions in the past. Prepare examples that showcase your ability to turn complex data into actionable insights.
✨Communicate Clearly
Strong communication is key in this role. Practice explaining technical concepts in simple terms, as you'll be working with non-technical team members. Consider doing mock interviews where you explain your past projects to someone without a data background.
✨Show Your Collaborative Spirit
This position involves working closely with cross-functional teams. Be prepared to share examples of how you've successfully collaborated with product managers, designers, or engineers in previous roles. Highlight your ability to foster positive relationships and build a data culture.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving abilities. Think of ambiguous problems you've encountered and how you structured your approach to find solutions. Use the STAR method (Situation, Task, Action, Result) to frame your answers effectively.