Product Data Scientist

Product Data ScientistLocation: Leicestershire - Hybrid (2 days in office)Salary: Up to £80,000 + benefitsStart Date: ASAP

A fast-growing tech business at the forefront of digital products and services, with a mission-driven culture and an expanding data function. The company is entering an exciting scale-up phase and investing heavily in analytics to improve customer experience, product strategy, and commercial performance. You'll join a collaborative team of data professionals who are shaping how the business uses data to drive decision-making.

As a Product Data Scientist, you'll sit at the heart of the product and analytics functions, using data to influence strategy and deliver actionable insights. This is a hands-on role, working closely with product managers, engineers, and senior stakeholders to uncover user behaviour, optimise features, and support decision-making through rigorous analysis. You'll also be a key voice in defining metrics, running experiments, and ensuring data quality across the business.

• Partner with product and engineering teams to identify opportunities and shape strategy through data-driven insights.

• Conduct deep-dive analyses into user behaviour, retention, and acquisition, delivering clear and actionable recommendations.

• Design and evaluate experiments, using advanced statistical techniques to measure impact and inform iteration.

• Define, align, and maintain key product metrics, ensuring consistency across teams.

• Build and maintain self-serve dashboards and tools, empowering colleagues with accessible insights.

• Apply data storytelling techniques to communicate complex analysis to both technical and non-technical audiences.

• Stay up to date with best practices in analytics, experimentation, and product data science.

Essential:

• Strong SQL skills and experience working with relational databases.

• Hands-on experience with BI/visualisation tools (e.g. Looker, Tableau, Lightdash).

• Proficiency in Python or R for analysis, modelling, and experimentation.

• Proven ability to translate business problems into analytical tasks and communicate outcomes effectively.

• Track record of delivering insights that have influenced product strategy.

Desirable:

• Experience with subscription, e-commerce, or digital product businesses.

• Knowledge of causal inference, A/B testing frameworks, or incrementality modelling.

• Exposure to modern data stacks (e.g. dbt, Snowflake, GCP/Azure).

• Introductory with the hiring manager.

• Technical task and panel interview (covering task presentation and competency questions).

• Final interview with senior stakeholders.

Send your CV to Mohammed Buhariwala at Harnham or connect with me on LinkedIn to discuss the role further.