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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 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, • 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, • 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 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

Experience in product or customer analytics within a digital, subscription, or marketplace business. Exposure to dbt, Python, or R for data modelling or deeper analytics.

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