PRODUCT DATA SCIENTIST
Up to £85,000 | London or Leicestershire | Hybrid (2 days/week in office)
THE COMPANY
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.
THE ROLE
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.
What you'll do:
- 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.
TECH STACK
Database: SQL (essential - must be strong)
Transformation: dbt (comfortable using, not expert-level required)
Languages: Python (for exploratory analysis, notebooks)
BI Tools: Lightdash / Looker
Version Control: Git
Analytics: GA, product analytics tools, web tracking
Some exposure to basic ML elements (exploratory modelling)
WHAT YOU NEED
- Essential:
- 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
Nice to have:
- 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
WHAT'S ON OFFER
- 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
INTERVIEW PROCESS
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
HOW TO APPLY
Send your CV to Mohammed Buhariwala at Harnham.
Keywords: Product Data Scientist, Product Analyst, Product Analytics, Data Scientist, SQL, Python, dbt, Looker, Experimentation, A/B Testing, Consumer Tech, Fintech, SaaS, London, Hybrid