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# Director of Data Science

- **Company:** Ocado
- **Location:** Doncaster, UK
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Information Engineering, Data Presentation, Machine Learning, Machine Learning Operations
- **Published:** August 19, 2026
- **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=2934139237-2

## About the Role

Leaders and representing the data function within the Logistics and Fulfillment Senior Leadership Teams.What we're looking for:In-depth knowledge of ML, and how to deploy models in production at scale (MLOps).A proactive problem solver comfortable with the ambiguity of physical hardware and complex logisticsA strong communicator adept at data storytelling, capable of managing complex stakeholder relationships by listening as much as influencing.The ability to use data to help product management prioritize feature development and measure improvements post-release.A leader who creates happy, high-performing teams through coaching, 1:1s, and a commitment to knowledge sharing.What do I get in return:Hybrid working pattern (2 days in the office)Wellbeing support through Apps such as Unmind and an Employee Assistance Programme25 days annual leave, rising to 27 days after 5 years service (plus optional holiday purchase)Pension scheme(various options available including employer

## Description

within Logistics research and build the algorithms that optimise decisions for the world's most advanced warehouses and delivery networks. You'll be responsible for the strategy and delivery of data science, ML, and operations research across both Logistics and Fulfillment (CFCs). We need a leader who can take us from "great research" to "production-scale impact," energising the team to push boundaries rather than settling for the status quo.What the role involves:Fostering a tight working relationship between data science and engineering to move ML models into production at scale.Overseeing the long-term vision for our 4-team data science group, ensuring research depth translates into operational value.Supporting and developing our data science crafts while helping the wider organisation understand where the biggest opportunities live.Working with Data Engineering and Analytics to embed a strategy that captures the right metrics for better product decisions.Line managing Data Team


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