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For Companies At a Glance
- Tasks: Drive product insights, shape user experience, and influence business strategy through data analysis.
- Company: Join a dynamic team at a leading retail analytics firm.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact on consumer products while working with cutting-edge data technologies.
- Qualifications: Strong SQL skills, basic Python knowledge, and experience with A/B testing.
- Other info: Fast-paced environment with a focus on innovation and collaboration.
The predicted salary is between 36000 - 60000 ÂŁ per year.
My client is looking for a Product Data Scientist to join a growing Insights team. In this role, you’ll partner closely with product, engineering, and machine learning teams to deliver insight, drive experimentation, and shape the future of a consumer‑facing product ecosystem. This position sits at the intersection of technical depth and strategic impact. You’ll dive into data, pipelines, and experimentation frameworks while also influencing product direction, user experience, and commercial outcomes.
WHAT YOU’LL DO
- Product Analytics Ownership
- Act as the go‑to data scientist for a core product area.
- Develop a deep understanding of user behaviour and product performance.
- Identify opportunities to improve user outcomes and business results.
- Influence Product & Business Strategy
- Connect analysis to broader company goals and strategic priorities.
- Help product teams understand trade‑offs, challenge assumptions, and make evidence‑based decisions.
- Experimentation & Measurement
- Design hypotheses and support experimentation frameworks.
- Monitor and analyse A/B tests, providing clear recommendations on rollouts or iterations.
- Conduct post‑experiment analysis to evaluate impact and learning.
- Enable Data‑Driven Decision Making
- Collaborate with product, platform, and data teams to ensure scalable, accurate datasets.
- Build dashboards and reporting that drive awareness, clarity, and action across teams.
- Support self‑serve analytics and data literacy within the product organisation.
SKILLS
- Strong SQL skills with experience querying large, complex datasets.
- Basic working knowledge of Python.
- Familiarity with ETL workflows and debugging data issues.
- Proven experience designing and interpreting A/B tests.
- Hands‑on experience with data visualisation tools (e.g., Looker, Tableau, or similar).
- Excellent communication skills, with the ability to explain complex concepts clearly and persuasively.
- Commercial mindset, balancing user needs with business outcomes.
- Strong sense of ownership; highly organised and proactive.
- Comfortable working in fast‑changing, ambiguous environments.
BONUS POINTS
- Experience working on consumer‑facing, mobile‑first products or marketplaces.
- Exposure to working alongside machine learning teams or embedding data science into ML‑powered product discovery.
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Analyst
Industries: Retail Apparel and Fashion
Product Data Scientist in England employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Data Scientist in England
✨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 open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Prepare for interviews by practising your storytelling skills. You want to showcase your experience with product analytics and data science in a way that connects with the company's goals. Make it relatable and engaging!
✨Tip Number 3
Show off your skills with a portfolio! Create a project or two that highlights your SQL prowess and A/B testing experience. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨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 Product Data Scientist in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Product Data Scientist. Highlight your SQL skills, experience with A/B testing, and any relevant projects that showcase your ability to influence product strategy.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data science and how you can contribute to our Insights team. Share specific examples of how you've driven experimentation or improved user outcomes in previous roles.
Showcase Your Technical Skills: Don’t forget to mention your technical prowess! Whether it’s your SQL expertise or familiarity with data visualisation tools, make sure we see how your skills align with the job requirements.
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!
How to prepare for a job interview at Harnham
✨Know Your Data Inside Out
Before the interview, dive deep into the data analytics tools and methodologies mentioned in the job description. Brush up on your SQL skills and be ready to discuss how you've used data to influence product decisions in the past.
✨Showcase Your Experimentation Skills
Be prepared to talk about your experience with A/B testing and experimentation frameworks. Have specific examples ready where your analysis led to actionable insights or changes in product strategy.
✨Connect the Dots
Understand how your role as a Product Data Scientist fits into the bigger picture of the company’s goals. Be ready to discuss how your insights can drive user outcomes and business results, showing that you have a commercial mindset.
✨Communicate Clearly and Confidently
Practice explaining complex data concepts in simple terms. The ability to communicate effectively with non-technical stakeholders is crucial, so think of ways to demonstrate this skill during your interview.
