Product Data Scientist (Contract)
Product Data Scientist (Contract)
London | Hybrid
This is an opportunity to join a data-driven organisation on a project where analytics directly shapes product strategy and customer experience. You'll work closely with Product and Engineering teams, using data to influence decisions, improve customer journeys, and measure the impact of key product initiatives.
The Company
They are a digitally focused organisation with a strong commitment to using data to drive product innovation and business growth. Their Data team partners closely with Product, Engineering, and commercial stakeholders to deliver actionable insights that improve customer outcomes. They foster a collaborative environment where experimentation, evidence-based decision making, and continuous improvement are central to how they operate.
The Role and Deliverables
- Analyse customer and partner behaviour to identify trends, opportunities, and actionable insights.
- Design and support experiments, testing hypotheses and measuring product impact.
- Define, monitor, and optimise product KPIs in collaboration with stakeholders.
- Build dashboards and self-service reporting solutions to support decision making.
- Conduct deep-dive analysis into user behaviour and business performance.
- Present insights and recommendations to Product, Engineering, and business teams.
Your Skills & Experience
- Strong experience using SQL to interrogate and analyse large datasets.
- Proven capability in product analytics, experimentation, and A/B testing.
- Experience using Python or R for advanced analysis and modelling.
- Ability to translate complex findings into clear business recommendations for stakeholders.
- Experience building dashboards using tools such as Looker, Tableau, Lightdash, or similar BI platforms.
- Strong understanding of user behaviour analysis within digital, product, or technology-focused environments.
- Experience working cross-functionally with Product, Engineering, and business teams.
How to Apply
If you're passionate about using data to shape product decisions and enjoy working in a collaborative, experiment-led environment, please apply with your latest CV.