At a Glance
- Tasks: Drive product strategy using data, collaborate with cross-functional teams, and identify improvement opportunities.
- Company: Dynamic tech company focused on innovation and collaboration.
- Benefits: Flexible hybrid working model, competitive salary, and a supportive culture.
- Other info: Inclusive environment welcoming diverse backgrounds and identities.
- Why this job: Make a real impact on product success while growing your data analytics skills.
- Qualifications: Strong communicator with analytical mindset and SQL skills.
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.
Inclusion
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 in London 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 network of analytics professionals. Join us to make a meaningful impact on our products and be part of a team that values your insights and contributions.
Contact Details:
0026 Checkout Technology Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land 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 Product Data Scientist role.
✨Tip Number 2
Prepare for the interview by brushing up on your SQL skills and data analysis techniques. We recommend doing some mock interviews with friends or using online platforms to get comfortable explaining complex topics in simple terms.
✨Tip Number 3
Showcase your analytical mindset! Bring examples of how you've turned ambiguous problems into structured, data-informed solutions in past projects. This will demonstrate your fit for the role and your ability to drive product success.
✨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 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 Product Data Scientist role. Highlight your analytical mindset and any experience you have in collaborating with cross-functional teams, as this is key for us.
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 product strategy. Share specific examples of how you've turned data into actionable insights in previous roles.
Showcase Your Technical Skills:Don’t forget to mention your SQL skills and any other relevant technical expertise. We love seeing candidates who can explain complex topics simply, so if you’ve done this before, let us know!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on 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 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 turned complex data into actionable insights.
✨Communicate Clearly
Strong communication is key! Practice explaining technical concepts in simple terms. Think about how you can convey your ideas to non-technical team members, as this will show your ability to collaborate effectively within cross-functional teams.
✨Showcase Your Impact
Be prepared to discuss specific projects where your data analysis led to measurable improvements. Highlight your role in defining metrics and how your recommendations influenced product roadmaps. This will demonstrate your value as a co-owner of a product.
✨Foster Relationships
Collaboration is crucial in this role. Think about how you've built positive relationships with engineers and product managers in the past. Be ready to share examples of how you’ve fostered a data culture and encouraged teamwork to achieve common goals.
