Product Data Scientist

Product Data Scientist

1 day ago Be among the first 25 applicants

This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Direct message the job poster from Harnham

PRODUCT DATA SCIENTIST

Up to £85,000 | London or Leicestershire | Hybrid (2 days/week in office)

discount platform serving 4M+ members across the UK with access to 15,000+ partner discounts. £72M revenue, £375M member savings, expanding globally.

250+ employees with leadership from top consumer tech companies (Depop, Skyscanner, Monzo, Just Eat). Mission-driven culture rewarding key workers. Data-driven decision making at the core.

Join the Data team as a Product Data Scientist working with Product and Business stakeholders to drive strategy through insight. Similar to Monzo's Product Data Science model - embedded within product teams, solving problems, informing decisions, guiding strategy.

Reports to Director of Data, works alongside Product Data Analyst, Analytics Engineers, and Data Scientists.

• Use quantitative analysis and data storytelling to uncover user behaviour and inform product strategy
• Design and support experiments, generate hypotheses, foster continuous learning
• Define and align key metrics with stakeholders, ensure data accuracy across teams
• Build self-serve dashboards and data tools for quick access to core insights
• Conduct deep-dive analyses supporting strategic initiatives with clear recommendations
• Maintain central Insights Hub with documented reports and metric definitions
• Collaborate cross-functionally to close data gaps and foster strong relationships
• Champion unified data approach and stay current on analytics best practices
• Own problem spaces end-to-end, not just analysis - deliver outcomes

Greenfield opportunity with full ownership, autonomy to identify right questions, design experiments, and drive revenue-impacting decisions.

Database: SQL (essential — must be strong)

Transformation: dbt (comfortable using, not expert-level required)

Languages:

Python (for exploratory analysis, notebooks)

Version Control:
Git

Analytics: GA, product analytics tools, web tracking

Some exposure to basic ML elements (exploratory modelling)

• Extensive experience working with data in an analytical fashion in a digitally native tech environment
• Consumer tech or product experience is a must - worked with product teams and business stakeholders
• Strong SQL skills - work independently creating complex queries
• Hands-on Python (or R) experience for exploratory analysis
• Experience with dbt, Lightdash, Looker, or Tableau
• Product analytics background - experimentation, A/B testing, user behaviour analysis
• Statistical rigor - appropriately skeptical, understand how to design experiments that isolate real effects
• Strong data storytelling and presentation skills - ability to present convincing, data-led arguments to stakeholders at all levels
• Ability to translate business problems into analytical tasks and communicate insights effectively
• Product-minded approach - care about the "why" behind analyses, can push back constructively
• Self-starter with strong curiosity to understand user behaviour
• Detail-oriented problem solver who can balance rigor with speed
• Team player who is both highly collaborative and individually capable
• Ability to manage your own development and identify opportunities for improvement
• Can deliver and execute, not just analyze - pragmatic problem-solver

• Experience in membership, subscription, or marketplace businesses
• Exposure to fintech or consumer tech scale-ups
• Background in companies like Monzo, Revolut, Deliveroo, Gousto, or similar product-led consumer tech
• Familiarity with modern data stack tools
• Understanding of affiliate networks or commission tracking

• Salary:
  Up to £85,000
• Location:
  
  London (Holborn) or Leicestershire - hybrid 2 days/week. London-based: travel to Leicestershire once/month
• Impact:
  Greenfield opportunity - shape data function, build from ground up
• Strategic:
  Dri…