Product Data Scientist

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

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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.

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• 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)

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• 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
  

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• 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
  

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• 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: Drive strategy and product decisions, not just reporting
  
• Mission-Driven: Tech for good - support key workers
  
• Holiday: 25 days + birthday off + buy/sell scheme (up to 5 days)
  
• Bonus: Company bonus scheme
  
• Health: BUPA medical insurance (covers pre-existing conditions) + healthcare cashback
  
• Benefits: Membership with 15,000+ discounts, pension, enhanced parental leave, EAP
  
• Perks: Free parking & EV charging at HQ, onsite gym, modern offices, social events, strong L&D culture
  

1. 45 minute Teams with Director of Data - work experience, current situation, more about the role

2. 1 hour Teams with Director of Data + Data Team member - case study presented during interview (two prompts on experimentation, product thinking, structured problem solving)

3. 1 hour in-person meeting with 10 minute presentation on past experience

4. Potential short Teams with CPO (TBC)

Timeline: 3-4 weeks

Send your CV to Mohammed Buhariwala at Harnham.

Product Data Scientist, Product Analyst, Product Analytics, Data Scientist, SQL, Python, dbt, Looker, Experimentation, A/B Testing, Consumer Tech, Fintech, SaaS, London, Hybrid

Associate

Full-time

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