Product Data Scientist
3 days ago
Leicester
PRODUCT DATA SCIENTIST Up to Β£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. Β£72M revenue, Β£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: β’ Use quantitative analysis and data storytelling to uncover user behaviour and inform product strategy, β’ Design and support experiments, generate hypotheses, foster continuous learning, β’ Define and align key metrics with stakeholders, ensure data accuracy across teams, β’ Build self-serve dashboards and data tools for quick access to core insights, β’ Conduct deep-dive analyses supporting strategic initiatives with clear recommendations, β’ Maintain central Insights Hub with documented reports and metric definitions, β’ Collaborate cross-functionally to close data gaps and foster strong relationships, β’ 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 β’ Essential:, β’ Extensive experience working with data in an analytical fashion in a digitally native tech environment, β’ Consumer tech or product experience is a must - worked with product teams and business stakeholders, β’ Strong SQL skills - work independently creating complex queries, β’ Hands-on Python (or R) experience for exploratory analysis, β’ Experience with dbt, Lightdash, Looker, or Tableau, β’ Product analytics background - experimentation, A/B testing, user behaviour analysis, β’ Statistical rigor - appropriately skeptical, understand how to design experiments that isolate real effects, β’ Strong data storytelling and presentation skills - ability to present convincing, data-led arguments to stakeholders at all levels, β’ Ability to translate business problems into analytical tasks and communicate insights effectively, β’ Product-minded approach - care about the "why" behind analyses, can push back constructively, β’ Self-starter with strong curiosity to understand user behaviour, β’ Detail-oriented problem solver who can balance rigor with speed, β’ Team player who is both highly collaborative and individually capable, β’ Ability to manage your own development and identify opportunities for improvement, β’ Experience in membership, subscription, or marketplace businesses, β’ Exposure to fintech or consumer tech scale-ups, β’ Background in companies like Monzo, Revolut, Deliveroo, Gousto, or similar product-led consumer tech, β’ Familiarity with modern data stack tools, β’ Salary: Up to Β£85,000, β’ Location: London (Holborn) or Leicestershire - hybrid 2 days/week. London-based: travel to Leicestershire once/month, β’ Impact: Greenfield opportunity - shape data function, build from ground up, β’ Strategic: Drive strategy and product decisions, not just reporting, β’ Mission-Driven: Tech for good - support key workers, β’ Holiday: 25 days + birthday off + buy/sell scheme (up to 5 days), β’ Bonus: Company bonus scheme, β’ Health: BUPA medical insurance (covers pre-existing conditions) + healthcare cashback, β’ 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