At a Glance
- Tasks: Drive product analytics, lead experiments, and deliver actionable insights for product success.
- Company: Join a leading tech company with a focus on data-driven decision making.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Supportive environment that values diversity and encourages personal development.
- Why this job: Make a real impact by shaping product strategies through data and collaboration.
- Qualifications: Strong communicator with experience in analytics, SQL, and applied statistics.
The predicted salary is between 60000 - 80000 £ per year.
As a Senior 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.
How you’ll make an impact:
- You’ll be responsible for driving analytics of a product pillar.
- You’ll 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 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, guiding 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.
- Experience conducting experiments, building measurement frameworks, and validating the results with relevant quantitative methods.
- 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).
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.
Senior Product Data Scientist employer: 0026 Checkout Technology Ltd
At Checkout.com, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a Senior Product Data Scientist, you'll not only have the opportunity to influence product strategy but also benefit from a supportive environment that encourages professional growth and development. With a focus on data-driven decision-making and a commitment to employee well-being, our London office offers a vibrant atmosphere where your contributions will be valued and recognised.
Contact Details:
0026 Checkout Technology Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior 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 Senior Product Data Scientist role.
✨Tip Number 2
Prepare for the interview by brushing up on your SQL skills and data analysis techniques. We want you to showcase your analytical mind, so practice explaining complex concepts in simple terms – it’ll impress the non-technical team members!
✨Tip Number 3
Don’t just focus on your technical skills; highlight your ability to collaborate with cross-functional teams. Share examples of how you’ve worked with product managers and engineers to drive product success – that’s what we’re all about!
✨Tip Number 4
Finally, 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 being part of our team at Checkout.com.
We think you need these skills to ace Senior Product Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior Product Data Scientist role. Highlight your analytical skills, experience with SQL, and any relevant projects that showcase your ability to drive product success.
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 used data to influence product decisions or improve processes in the past.
Showcase Your Communication Skills:As a strong communicator, it's essential to demonstrate your ability to explain complex topics clearly. Use your application to show how you've successfully communicated data insights to non-technical stakeholders in previous roles.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. This way, we can ensure your application gets the attention it deserves and you can easily track your progress!
How to prepare for a job interview at 0026 Checkout Technology Ltd
✨Know Your Data
As a Senior 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 of how you've built measurement frameworks or conducted experiments.
✨Communicate Clearly
Strong communication is key in this role. Practice explaining complex technical concepts in simple terms. Think about how you can convey your insights to non-technical team members, as this will show your ability to collaborate effectively with cross-functional teams.
✨Showcase Your Impact
Be prepared to discuss specific instances where your data-driven recommendations led to measurable improvements. Highlight your experience in defining metrics and how those metrics influenced product roadmaps. This will demonstrate your capability to drive analytics and make an impact.
✨Foster Collaboration
Since you'll be working closely with engineers and product managers, think about how you can build positive relationships. Share examples of how you've collaborated in the past and how you plan to foster a data culture within the team. This will show that you're not just a data expert, but also a team player.
