> Markdown version of [/jobs/ext/4697149-product-data-scientist-contract](https://www.wearedevelopers.com/jobs/ext/4697149-product-data-scientist-contract). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Product Data Scientist (Contract) - **Company:** Harnham - **Location:** London, United Kingdom - **Experience:** Expert - **Salary:** £91,000 - £104,000 - **Contract:** Temporary contract - **Skills:** Business Analytics Applications, Data Presentation, Python (Programming Language), SQL Databases, Tableau (Software), Looker Analytics - **Published:** November 13, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5963756832 ## About the Role * Extensive experience working with data in an analytical way, ideally in a digitally native tech environment * Experience with analytical tools and languages such as SQL, dbt, Python or R, plus BI tools such as Lightdash, Looker or Tableau * The ability to turn business problems into analytical tasks and communicate insights to stakeholders at all levels * Strong data storytelling and presentation skills, including making a convincing, data-led case for your ideas * A self-starting, detail-oriented approach, with real curiosity about user behaviour * A willingness to manage your own development alongside the senior analytics team * Team spirit, with the ability to work well both collaboratively and on your own ## Description * Using quantitative analysis and data storytelling to uncover user behaviour, find pain points and inform product strategy * Finding and sizing new opportunities by generating hypotheses and designing and supporting experiments * Defining and agreeing key metrics with stakeholders, and working with engineers and developers to keep data accurate and consistent * Building and maintaining self-serve data tools and dashboards so teams can get quick access to core insights * Running deep-dive analyses to support strategic initiatives, with clear recommendations * Documenting reports, insights and metric definitions in a central knowledge base * Working across teams to close data and capability gaps and build strong relationships * Championing a consistent approach to data sources and definitions, and staying current on analytics best practice