At a Glance
- Tasks: Drive product analytics, lead experiments, and deliver actionable insights for product improvement.
- Company: Join a leading tech company that values data-driven decision-making.
- Benefits: Competitive salary, flexible working options, and a supportive team environment.
- Other info: Opportunity to grow within a dynamic and innovative data community.
- Why this job: Make a real impact on product success while collaborating with diverse teams.
- Qualifications: Strong analytical skills, experience in data analysis, and excellent communication abilities.
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 in London employer: 0026 Checkout Technology Ltd
At Checkout.com, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation. As a Senior Product Data Scientist, you'll not only have the opportunity to influence product strategy but also benefit from a supportive network of analytics professionals dedicated to your growth. Our commitment to employee development, coupled with a focus on data-driven decision-making, ensures that you will thrive in a meaningful role that directly impacts our success.
Contact Details:
0026 Checkout Technology Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Product Data Scientist in London
✨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. Be ready to discuss how you've used data to drive product decisions in the past, as this will show you're the right fit for the team.
✨Tip Number 3
Showcase your communication skills! Practice explaining complex data concepts in simple terms. This is crucial since you'll be working with non-technical team members, and we want to see how you can bridge that gap.
✨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 being part of our team.
We think you need these skills to ace Senior Product Data Scientist in London
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 your previous roles.
Showcase Your Communication Skills:As a strong communicator, it's essential to demonstrate your ability to explain complex topics simply. In your application, consider including examples where you've successfully communicated technical information to non-technical stakeholders.
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 Inside Out
As a Senior Product Data Scientist, you'll need to demonstrate your analytical prowess. Brush up on SQL and be ready to discuss how you've used data to drive product decisions in the past. Prepare specific examples of metrics you've defined and how they influenced product strategy.
✨Communicate Clearly
Strong communication skills are key for this role. Practice explaining complex data 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 Experimentation Skills
Be prepared to talk about your experience with building measurement frameworks and conducting experiments. Have a couple of case studies ready where you validated results using quantitative methods. This will highlight your hands-on experience and strategic thinking.
✨Foster a Data Culture
Think about ways you've previously shared insights and fostered a data-driven culture within your team. Be ready to discuss how you can contribute to building positive relationships with colleagues and encourage data sharing across products and technology.
