Product Data Scientist

CompanyHarnham

LocationLeicester, England, United Kingdom

Posted At1/2/2026

UK Visa Sponsorship Analytics

Occupation Type

Actuaries, economists and statisticians

Occupation Code Skill LevelHigher Skilled

Sponsorship Salary Threshold

£55,100 (£28.26 per hour)

Occupation rate applies

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Description

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