At a Glance
- Tasks: Run A/B tests and analyse data to drive product growth and user experience.
- Company: Global consumer technology platform with a focus on innovation.
- Benefits: Competitive salary, fully remote work, and strong contract extension potential.
- Other info: Join a dynamic team and enjoy excellent career growth opportunities.
- Why this job: Make a real impact on millions of users while working with cutting-edge analytics.
- Qualifications: 4-7 years in product or consumer analytics with strong SQL skills.
The predicted salary is between 92000 - 104000 £ per year.
We're working with a global consumer technology platform on a senior data role focused on product growth, experimentation and user experience at scale. This is a hands-on analytics role where your work will directly influence how millions of users authenticate, access and move through critical product journeys. You'll sit inside a product and engineering team, owning analytics for a defined set of features and helping teams understand what's working, what isn't, and why.
What's in it for you:
- Annual Salary range from £115,000 - £130,000 DOE
- 12-month contract with strong extension potential - PAYE - inside IR35
- Paid weekly via Principle HR
- Fully remote within the UK
- Candidates to be considered must be physically based in the UK, and you must already have the right to work in the UK (no sponsorship available).
What you'll be doing:
- Running and analysing A/B tests and experiments to measure product impact
- Performing funnel and drop-off analysis across login, registration and recovery flows
- Diagnosing issues through root cause analysis
- Sizing opportunities for optimisation and expansion
- Building clear dashboards and insights that influence product and engineering decisions
- Working closely with engineers and product partners to hit delivery milestones
What we're looking for:
- 4-7 years' experience in product, growth or consumer analytics
- Strong SQL - this will be assessed - tech test
- Hands-on experience with experimentation / A-B testing
- Experience working with large-scale consumer data
- Ability to turn complex analysis into clear, actionable recommendations
- Python or R experience is beneficial, but not essential
If you're a product-focused data scientist who enjoys solving real user problems at scale, we'd like to hear from you. Apply now or reach out for a confidential conversation.
Product Data Scientist - Growth & Experimentation - £130K employer: Principle
Join a leading global consumer technology platform that values innovation and collaboration, offering a dynamic work culture where your contributions directly impact millions of users. With a competitive salary range of £115,000 - £130,000 and the flexibility of fully remote work within the UK, this role provides excellent opportunities for professional growth and development in a hands-on analytics environment. Embrace the chance to work alongside talented engineers and product partners, driving meaningful change in user experience and product optimisation.
StudySmarter Expert Advice🤫
We think this is how you could land Product Data Scientist - Growth & Experimentation - £130K
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or a GitHub repository showcasing your projects, especially those related to A/B testing and data analysis. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We recommend simulating the interview environment with a friend to boost your confidence.
✨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, we love hearing from passionate candidates like you!
We think you need these skills to ace Product Data Scientist - Growth & Experimentation - £130K
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in product analytics and experimentation. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about product growth and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Analytical Skills:Since this role involves a lot of data analysis, make sure to mention specific tools and techniques you’ve used, like SQL or A/B testing. We want to know how you’ve turned data into actionable insights in your previous roles.
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’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Principle
✨Know Your Analytics Inside Out
Make sure you brush up on your SQL skills, as this will be assessed during the interview. Be prepared to discuss your experience with A/B testing and how you've used analytics to drive product decisions in the past.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've diagnosed issues through root cause analysis. Think about specific instances where your insights led to significant improvements in user experience or product growth.
✨Be Ready to Discuss Dashboards
Since building clear dashboards is part of the role, come prepared to talk about the tools you've used and how you've presented data to influence decisions. Highlight any experience you have with visualising complex data in a way that's easy for stakeholders to understand.
✨Understand the Product Journey
Familiarise yourself with the critical product journeys mentioned in the job description. Be ready to discuss how you would approach analysing login, registration, and recovery flows, and what metrics you would focus on to measure success.
