At a Glance
- Tasks: Drive product strategy using data, collaborate with cross-functional teams, and analyse product performance.
- Company: Dynamic tech company focused on innovation and collaboration.
- Benefits: Flexible hybrid working model, inclusive culture, and opportunities for personal growth.
- Other info: Join a supportive team that values diverse backgrounds and ideas.
- Why this job: Make a real impact on product success while developing your analytical skills.
- Qualifications: Strong communication skills and experience in data analysis, especially with SQL.
The predicted salary is between 60000 - 80000 £ per year.
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 data collection, design and 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.
How you’ll make an impact
- Lead analytics of a product pillar, driving metrics definition, measurement, and presentation.
- Contribute product roadmaps through data‑based recommendations and identify high‑impact improvement areas.
- Work closely with Data Analytics Engineers and Software Engineers to ensure right data collection and modeling for actionable insights.
- Foster data culture across products and technology by sharing insights, ideas, and building positive relationships.
- Build experiments and analysis frameworks to quantify ROI of product development.
- Lead by example to apply best practices in analytics across data collection to analysis.
What we’re looking for
- Strong communicator, able to explain complex technical topics to non‑technical team members.
- Analytical mindset with demonstrable experience converting ambiguous problems into structured, data‑informed solutions.
- Excellent data interrogation skills with SQL.
Benefits and Culture
- Hybrid working model offering flexibility, with three days per week in the office to support collaboration and connection.
So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.
Product Data Scientist employer: 0026 Checkout Technology Ltd
At Checkout.com, we pride ourselves on being an excellent employer that fosters a collaborative and inclusive work culture. As a Product Data Scientist, you'll enjoy a hybrid working model that promotes flexibility while also providing ample opportunities for professional growth and development within a supportive team environment. Our commitment to data-driven decision-making ensures that your contributions will have a meaningful impact on our products and the overall success of the company.
Contact Details:
0026 Checkout Technology Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Product Data Scientist
✨Tip Number 1
Network like a pro! Reach out to current employees at Checkout.com on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Product Data Scientist 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 used data to drive product decisions in the past. We want to see your analytical mindset in action!
✨Tip Number 3
Showcase your communication skills! Practice explaining complex data concepts in simple terms. Remember, as a Product Data Scientist, you'll need to collaborate with non-technical team members, so make sure you can break it down for them.
✨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 genuinely interested in joining our team at Checkout.com.
We think you need these skills to ace Product Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Product Data Scientist role. Highlight your analytical mindset and any experience you have in driving product metrics or collaborating with cross-functional teams.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data and how you can contribute to our team. Share specific examples of how you've turned complex data into actionable insights, and don’t forget to mention your communication skills!
Showcase Your Technical Skills:Since SQL is key for this role, make sure to include any relevant projects or experiences where you've used SQL to interrogate data. If you’ve built reports or dashboards, let us know how you did it and the impact it had!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to see your application and get to know you better. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at 0026 Checkout Technology Ltd
✨Know Your Data
As a Product Data Scientist, you'll need to demonstrate your analytical mindset. Brush up on your SQL skills and be ready to discuss how you've used data to solve ambiguous problems in the past. Prepare examples of how you've driven metrics definition and measurement in previous roles.
✨Communicate Clearly
Strong communication is key in this role. Practice explaining complex technical topics in simple terms. Think about how you can convey your insights to non-technical team members effectively, as this will be crucial in influencing product strategy.
✨Collaborate and Build Relationships
This position involves working closely with cross-functional teams. Be prepared to discuss how you've fostered positive relationships in previous roles. Share examples of how collaboration has led to successful product outcomes, and show that you're a team player.
✨Showcase Your Impact
Highlight your experience in building experiments and analysis frameworks. Be ready to discuss specific instances where your data-driven recommendations led to high-impact improvements. This will demonstrate your ability to contribute to product roadmaps and quantify ROI effectively.
