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For Companies At a Glance
- Tasks: Drive product analytics and deliver insights that shape product strategy.
- Company: Fast-growing consumer tech business backed by private equity.
- Benefits: Competitive salary, hybrid work, and opportunity to influence product strategy.
- Why this job: Make a real impact in a high-growth environment with senior leadership exposure.
- Qualifications: Experience in product analytics and strong SQL skills required.
- Other info: Join a dynamic team focused on personalisation and user engagement.
The predicted salary is between 48000 - 64000 £ per year.
Product Data Scientist
Location: London, UK (Hybrid – 1 day a week in a central London office)
Base pay: Up to £65k + exceptional benefits.
What you’ll do
- Own analytics for a core product area
- Shape product & commercial strategy with data‑led insights
- Design, run, and evaluate A/B tests end‑to‑end (3‑5 per quarter)
- Partner with Product, Engineering & ML teams
- Help build self‑serve analytical capabilities
What you’ll bring
- Strong SQL (day‑to‑day level)
- Python exposure (nice to have)
- Experience with BI tools (Looker/PowerBI/Tableau)
- Comfort working with ETL workflows
- Strong communicator with commercial awareness
- Confident presenting to non‑technical stakeholders
Why apply?
- £65k base
- 1 day a week in a central London office
- Exceptional benefits
If you’re driven by experimentation, impact and product thinking, this is a brilliant next step.
Find out more and apply via the link below.
Job Details
- Seniority level: Entry level
- Employment type: Full-time
- Job function: Analyst
- Industry: Retail Apparel and Fashion
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Product Data Scientist employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at companies you're interested in. A friendly chat can lead to insider info and even referrals.
✨Tip Number 2
Prepare for interviews by practising common questions related to product analytics. Think about how your experience with SQL and data visualisation tools can shine through in your answers.
✨Tip Number 3
Showcase your skills with a portfolio! Create a few case studies or projects that highlight your expertise in product analytics and how you've influenced product strategy in the past.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed and you can keep track of your progress easily.
We think you need these skills to ace Product Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Product Data Scientist role. Highlight your experience in product analytics and any relevant skills like SQL and data visualisation tools. We want to see how your background aligns with our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about product analytics and how you can contribute to our growth. Be sure to mention specific experiences that demonstrate your ability to influence product strategy.
Showcase Your Skills: Don’t just list your skills; show us how you've used them in real-world scenarios. Whether it's building dashboards or driving product strategy, we want to see examples of your work that highlight your expertise in product analytics.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Harnham
✨Know Your Product Analytics
Make sure you brush up on your product analytics knowledge. Understand key concepts like user behaviour, personalisation, and how to influence product strategy. Be ready to discuss specific examples from your past experience where you've successfully driven product decisions using data.
✨Show Off Your SQL Skills
Since strong SQL skills are essential for this role, prepare to demonstrate your proficiency. You might be asked to solve a problem or analyse a dataset during the interview, so practice writing queries and be ready to explain your thought process clearly.
✨Visualise Your Insights
Familiarise yourself with data visualisation tools, especially Looker if you can. Prepare to discuss how you've built dashboards in the past and how they helped track product performance. Bring examples of your work to showcase your ability to communicate insights effectively.
✨Engage with Stakeholders
This role requires excellent communication and stakeholder management skills. Think about times when you've partnered with different teams to deliver insights. Be prepared to share how you influenced product roadmaps and drove commercial impact through collaboration.
