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Product Data Scientist
Harnham
- Leicester, England, United Kingdom
- Leicester, England, United Kingdom
Über
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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Sprachkenntnisse
- English
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