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- Tasks: Lead analytics and experimentation for a high-impact product area.
- Company: Major consumer marketplace with a focus on innovation.
- Benefits: Up to £85k salary, outstanding benefits, and hybrid work model.
- Why this job: Gain technical depth and strategic influence without managing people.
- Qualifications: Strong SQL skills, Python experience, and familiarity with BI tools.
- Other info: Mentorship opportunities and a modern office in London.
The predicted salary is between 51000 - 85000 £ per year.
A major consumer marketplace is hiring a Senior Product Data Scientist to lead analytics and experimentation across a high-impact product area. You will work closely with Product, Engineering and ML teams, owning technical discovery, shaping strategy, and driving experimentation at scale.
What you will do:
- Lead analytics for a core product vertical
- Own technical discovery and experimentation frameworks
- Design, run and deeply analyse A/B tests (3-5 per quarter)
- Mentor other analysts (no line management)
- Influence product & business strategy end-to-end
- Enable scalable, self-serve analytics
What you will bring:
- Strong SQL (daily use)
- Python experience (nice to have)
- BI tools (Looker/PowerBI/Tableau)
- Experience with Optimizely or similar testing platforms
- Excellent communication + stakeholder influence
- Hands-on, highly technical, commercially minded
Why apply?
- Up to £85k base
- 1 day a week in a modern London office
- Outstanding benefits
- Perfect for someone who wants technical depth, strategic influence and high ownership - without people management.
Find out more and apply via the link below.
Senior Product Data Scientist in London employer: Harnham
Contact Detail:
Harnham Recruiting 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 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 involving SQL and Python. 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 doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
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 speaks directly to the role of Senior Product Data Scientist. Highlight your experience with SQL, Python, and any BI tools you've used. We want to see how your skills align with what we're looking for!
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 influence product strategy. We love seeing your personality come through, so don’t hold back!
Showcase Your Experimentation Skills: Since you'll be leading analytics and A/B testing, share specific examples of tests you've designed and analysed. We want to know how you approach experimentation and what impact it had on previous projects.
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 this exciting opportunity. Let’s get started on this journey together!
How to prepare for a job interview at Harnham
✨Know Your Data Tools
Make sure you're well-versed in SQL and any BI tools mentioned in the job description, like Looker or Tableau. Brush up on your Python skills too, as they might come in handy during technical discussions.
✨Prepare for A/B Testing Questions
Since you'll be designing and analysing A/B tests, be ready to discuss your past experiences with experimentation frameworks. Think of specific examples where your insights led to impactful product decisions.
✨Showcase Your Communication Skills
As influencing stakeholders is key, practice articulating complex data findings in a clear and concise manner. Prepare to explain how you've successfully communicated insights to non-technical teams in the past.
✨Demonstrate Strategic Thinking
Be prepared to discuss how you can shape product and business strategy through data. Think about how your analytical skills can drive decision-making and provide examples of how you've done this before.