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- Tasks: Shape product direction through data analysis and experimentation with cross-functional teams.
- Company: Join a leading global tech company focused on impactful product analytics.
- Benefits: Enjoy a competitive salary, fully remote work, and potential contract extension.
- Why this job: Make a difference in user experience and platform safety for millions of users.
- Qualifications: 10+ years in data roles, strong SQL skills, and hands-on experimentation experience required.
- Other info: This role is not suitable for entry-level candidates or those without deep product team experience.
The predicted salary is between 104000 - 108000 ÂŁ per year.
The role: Senior Data Scientist – Product Analytics
Location: Fully remote within the London/South East UK regions
Contract: until end of 2025, likely to extend
Salary: ÂŁ130k to ÂŁ135k basic + benefits (PAYE, within IR35)
UK based candidates ONLY - no relocation or sponsorship
Important: This is not an entry-level role. It’s not suitable for ML engineers, academic researchers, or consultants without deep product team experience. If you haven’t influenced product at scale or worked cross-functionally on user-facing features, this role won’t be the right fit.
We’re looking for a Senior Data Scientist with a strong background in product analytics. This isn’t a model-building role. It’s about shaping product direction through experimentation, data analysis and narrative, working directly with product managers, engineers and senior leadership. You’ll be working in a high-impact area focused on account enforcement and appeals, helping define what “fair” looks like at scale for millions of users. This means balancing user experience, platform safety, commercial impact and regulatory pressure. It’s complex, high-stakes work.
Your day-to-day will include:
- Defining and evolving success metrics
- Designing and analysing A/B and multivariate experiments
- Partnering with product and engineering teams to guide decision-making
- Supporting roadmap planning with data-driven insights
- Analysing user behaviour across enforcement flows
- Identifying opportunity areas, system drop-offs and unexpected outcomes
- Producing clear, concise data stories for senior stakeholders
- Helping shape what gets built, not just reporting on what’s already happened
What you must have:
- 10+ years in data roles – this is a senior-level hire
- Proven, in-depth SQL – comfortable writing complex queries, not delegating them
- Hands-on experimentation experience – A/B testing, uplift modelling, test design
- Clear, confident communication – able to distil complex data into insight that drives product direction
- Experience influencing product and engineering teams
- Python or R for data exploration and automation
- Familiarity with integrity, trust & safety, fraud, or user enforcement domains
- Experience building or scaling measurement frameworks and dashboards
- Background working in regulated or high-accountability industries
Contact Detail:
Principle Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Product Analysis | Global Big Tech
✨Tip Number 1
Network with professionals in the product analytics field, especially those who have experience in high-stakes environments. Attend industry meetups or webinars to connect with potential colleagues and learn about their experiences.
✨Tip Number 2
Showcase your hands-on experimentation experience by discussing specific A/B tests you've designed and the impact they had on product direction. Be prepared to explain your thought process and the outcomes in detail during interviews.
✨Tip Number 3
Familiarise yourself with the latest trends and challenges in integrity, trust, and safety within tech products. This knowledge will help you demonstrate your understanding of the complexities involved in the role and how you can contribute.
✨Tip Number 4
Prepare to discuss how you've influenced cross-functional teams in previous roles. Highlight specific examples where your data insights led to significant product decisions, showcasing your ability to communicate complex data effectively.
We think you need these skills to ace Senior Data Scientist - Product Analysis | Global Big Tech
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your extensive experience in data roles, particularly focusing on product analytics. Emphasise your hands-on experimentation experience and your ability to influence product direction.
Craft a Compelling Cover Letter: In your cover letter, clearly articulate how your background aligns with the specific requirements of the role. Mention your experience with A/B testing and your familiarity with integrity and safety domains, as these are crucial for this position.
Showcase Relevant Projects: Include specific examples of past projects where you defined success metrics or partnered with product teams. Highlight any complex SQL queries you've written and how they impacted product decisions.
Prepare for Data Storytelling: Since the role involves producing clear data stories for senior stakeholders, practice distilling complex data insights into concise narratives. Be ready to discuss how you've done this in previous roles during potential interviews.
How to prepare for a job interview at Principle
✨Showcase Your Product Analytics Experience
Make sure to highlight your previous experience in product analytics during the interview. Discuss specific projects where you influenced product direction through data analysis and experimentation, as this role requires a strong background in shaping product strategy.
✨Demonstrate Your SQL Skills
Since the role demands in-depth SQL knowledge, be prepared to discuss complex queries you've written. You might even be asked to solve a problem on the spot, so brush up on your SQL skills and be ready to showcase your ability to handle data effectively.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills and decision-making process. Think about how you would approach A/B testing or how you would analyse user behaviour in enforcement flows, as these are key aspects of the role.
✨Communicate Clearly and Confidently
This position requires clear communication of complex data insights. Practice distilling your past experiences into concise narratives that demonstrate how your insights have driven product decisions. Confidence in your communication will help you stand out.