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- Tasks: Drive product strategy through data insights and collaborate with cross-functional teams.
- Company: Join a leading discount platform with a mission-driven tech culture.
- Benefits: Up to £85,000 salary, 25 days holiday, health insurance, and great perks.
- Why this job: Shape the data function and make a real impact in a tech-for-good environment.
- Qualifications: Strong SQL and Python skills, with a background in product analytics.
- Other info: Hybrid work model with opportunities for professional growth and development.
The predicted salary is between 68000 - 102000 £ per year.
Up to £85,000 | London or Leicestershire | Hybrid (2 days/week in office)
A discount platform serving 4M+ members across the UK with access to 15,000+ partner discounts. £250+ employees with leadership from top consumer tech companies (Depop, Skyscanner, Monzo, Just Eat). Data-driven decision making is at the core.
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.
- Use quantitative analysis and data storytelling to uncover user behaviour and inform product strategy.
- 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.
Database: SQL (essential - must be strong)
Transformation: dbt (comfortable using, not expert-level required)
Languages: Python (for exploratory analysis, notebooks)
BI Tools: Analytics: GA, product analytics tools, web tracking
Some exposure to basic ML elements (exploratory modelling).
Extensive experience working with data in an analytical fashion in a digitally native tech environment.
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.
Strong data storytelling and presentation skills - ability to present convincing, data-led arguments to stakeholders at all levels.
Product-minded approach - care about the "why" behind analyses, can push back constructively.
Ability to manage your own development and identify opportunities for improvement.
Familiarity with modern data stack tools.
Understanding of affiliate networks or commission tracking.
Location: London (Holborn) or Leicestershire - hybrid 2 days/week. London-based: travel to Leicestershire once/month.
Greenfield opportunity - shape data function, build from ground up.
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.
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:
- 45 minute Teams with Director of Data - work experience, current situation, more about the role.
- 1 hour Teams with Director of Data + Data Team member - case study presented during interview (two prompts on experimentation, product thinking, structured problem solving).
Keywords: Product Data Scientist, Product Analyst, Product Analytics, Data Scientist, SQL, Python, dbt, Looker, Experimentation, A/B Testing, Consumer Tech, Fintech, SaaS, London, Hybrid.
Contract Data Scientist (Remote) in Coventry employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Contract Data Scientist (Remote) in Coventry
✨Tip Number 1
Get to know the company inside out! Research their products, values, and recent news. This will help you tailor your conversations and show that you're genuinely interested in being part of their team.
✨Tip Number 2
Practice your data storytelling skills! Be ready to explain your past projects and how your insights drove decisions. Use clear examples that highlight your SQL and Python expertise, as well as your product-minded approach.
✨Tip Number 3
Prepare for the case study by brushing up on experimentation and A/B testing concepts. Think about how you would approach real-world problems and be ready to discuss your thought process during the interview.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Contract Data Scientist (Remote) in Coventry
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your SQL and Python expertise, as well as any product analytics experience you have. We want to see how you can contribute to our data-driven decision-making!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about the role and how your background aligns with our mission. Share specific examples of your data storytelling and problem-solving skills, and let us know how you can help shape our data function.
Showcase Your Projects: If you've worked on relevant projects, whether in a professional or personal capacity, make sure to mention them! We love seeing hands-on experience, especially with tools like dbt, Looker, or any product analytics platforms you've used.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for this exciting opportunity to join our team!
How to prepare for a job interview at Harnham
✨Know Your SQL Inside Out
Since strong SQL skills are essential for this role, make sure you brush up on your ability to create complex queries. Practise writing SQL statements that can extract meaningful insights from data, as you might be asked to demonstrate this during the interview.
✨Master Data Storytelling
Being able to present convincing, data-led arguments is crucial. Prepare examples of how you've used data storytelling in past projects. Think about how you can clearly communicate insights and recommendations to stakeholders at all levels.
✨Familiarise Yourself with Product Analytics
Since the role involves experimentation and user behaviour analysis, review your knowledge of A/B testing and product analytics tools. Be ready to discuss how you've applied these concepts in previous roles and how they can inform product strategy.
✨Prepare for Case Studies
Expect to tackle case studies during the interview, especially around experimentation and structured problem-solving. Practise breaking down problems methodically and think about how you would approach real-world scenarios relevant to the role.