Product Data Scientist

Harnham
Leicester
2 months ago
Applications closed

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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.


Base pay range

Direct message the job poster from Harnham


Building Data Analytic Teams Across the North & Midlands (UK) | The Talent Driving The Data & AI Revolution

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)


Version Control: Git


Analytics: GA, product analytics tools, web tracking


Some exposure to basic ML elements (exploratory modelling)


WHAT YOU NEED

  • 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


Seniority level

Associate


Employment type

Full-time


Job function

  • Analyst

Industries

  • Technology, Information and Media


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