Product Data Scientist/Analyst

As a Product Data Scientist, you’ll work closely with teams across the business to unlock insight, guide product strategy, and influence decision-making. You’ll use advanced analytics, experimentation, and data storytelling to identify opportunities, improve customer experiences, and drive measurable impact., * Analyse user behaviour to uncover insights, identify pain points, and influence product direction.

• Design experiments and support a culture of testing, learning, and iteration.
• Define and align key business metrics, ensuring consistency and accuracy across teams.
• Build and maintain dashboards and tools to empower stakeholders with self-serve insights.
• Conduct deep-dive analyses to support strategic initiatives and provide clear recommendations.
• Collaborate across functions to close data gaps and drive analytics best practice.
• Stay current on industry trends and champion innovative approaches to product data science.

• Proven experience in analytical roles, ideally within a digital-first or tech-led business.
• Skilled in SQL, Python or R, plus familiarity with BI tools (e.g. Looker, Tableau, Lightdash).
• Ability to translate business challenges into clear analytical projects and recommendations.
• Strong data storytelling and presentation skills, with confidence engaging senior stakeholders.
• Curious, proactive, and detail-oriented problem solver.
• Team player with strong collaboration skills.

• Salary up to £80,000 + bonus
• Hybrid working (2 days per week in London office)
• Competitive annual leave package
• Pension scheme and healthcare support
• Employee discounts and perks
• Regular team socials and recognition initiatives
• Strong learning and development opportunities

A well-established and fast-growing organisation going through an exciting period of digital transformation. With a strong customer focus, they use data and technology to deliver meaningful products and services to a wide audience. The business is scaling its data capabilities and is investing heavily in analytics to drive smarter decisions and long-term growth.