At a Glance
- Tasks: Run A/B tests and analyse user journeys to drive product growth.
- Company: Join a leading global consumer technology platform.
- Benefits: Competitive salary, fully remote work, and strong contract extension potential.
- Other info: Work in a dynamic team with opportunities for professional growth.
- Why this job: Make a real impact on millions of users' experiences with your data insights.
- Qualifications: 4-7 years in product analytics and strong SQL skills required.
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 in England employer: Principle HR
Join a leading global consumer technology platform that values innovation and collaboration, offering a dynamic work culture where your insights will shape the user experience for millions. With a competitive salary range of £115,000 - £130,000 and the flexibility of fully remote work within the UK, you'll have the opportunity to grow your skills in a hands-on analytics role while contributing to impactful product decisions. The company fosters an environment of continuous learning and development, ensuring that you can thrive both personally and professionally.
StudySmarter Expert Advice🤫
We think this is how you could land Product Data Scientist - Growth & Experimentation - 130K in England
✨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
Prepare for interviews by practising common questions and showcasing your experience with A/B testing and analytics. We want you to shine, so rehearse your success stories!
✨Tip Number 3
Don’t just apply; follow up! After submitting your application through our website, drop a quick message to the hiring manager. It shows enthusiasm and keeps you on their radar.
✨Tip Number 4
Stay updated on industry trends and tools. Being knowledgeable about the latest in product growth and experimentation will give you an edge in discussions and interviews.
We think you need these skills to ace Product Data Scientist - Growth & Experimentation - 130K in England
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in product growth 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 data science and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Show Off Your Analytical Skills:Since this role involves A/B testing and funnel analysis, make sure to mention any specific tools or methodologies you’ve used. We’re keen to see 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 for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Principle HR
✨Know Your A/B Testing Inside Out
Since this role heavily focuses on running and analysing A/B tests, make sure you brush up on your testing methodologies. Be ready to discuss past experiments you've conducted, the metrics you used, and how you interpreted the results. This will show your hands-on experience and understanding of experimentation.
✨Master SQL for the Tech Test
With strong SQL skills being a key requirement, we recommend practising common SQL queries and data manipulation techniques. Familiarise yourself with complex joins, aggregations, and subqueries. You might even want to run through some sample tech tests to boost your confidence before the interview.
✨Prepare for Root Cause Analysis Questions
Expect questions that assess your ability to diagnose issues through root cause analysis. Think of specific examples where you identified problems in user flows or product features, and be ready to explain your thought process and the impact of your findings.
✨Showcase Your Data Visualisation Skills
Building clear dashboards and insights is crucial for this role. Bring examples of dashboards you've created in the past, and be prepared to discuss how they influenced product decisions. Highlight your ability to turn complex data into actionable recommendations that resonate with both technical and non-technical stakeholders.
