Data Scientist

<p><strong>Data Scientist | Logistics & Fulfilment | Hybrid Working | London</strong></p> <p><strong>Introduction:</strong> </p> <p>We are Ocado Group, and we're bringing world-class automation to online grocery. Our Ocado Smart Platform (OSP) combines cutting-edge robotics, AI, and IoT within our advanced CFCs (Customer Fulfilment Centres). We've mastered the single pick, transforming online delivery for our global partners. Join us and be part of a team pushing the boundaries of retail technology.</p> <p><strong>About the Role</strong> </p> <p>As a Data Scientist in our Treefrogs team, you will play a key role in powering the machine learning algorithms behind Ocado Group’s Logistics and Supply Chain technology. Our mission-critical models drive key operational decisions for global partners, including demand forecasting, drive-time predictions, and supplier reliability. In this role, you will own the full data science lifecycle, from researching state-of-the-art deep learning techniques to deploying, scaling, and supporting production-ready models.</p> <p>Working closely with cross-functional software engineering, data engineering, and product teams, you will tackle high-impact problems where algorithm performance directly affects operational efficiency and partner revenue. You will continuously refine existing architectures, build robust data pipelines, and explore new applications for machine learning, ensuring our systems remain reliable, scalable, and cutting-edge.</p> <p><strong>Key Responsibilities</strong></p> <ul> <li>Improve existing model architectures and adapt them to solve new operational challenges and support global partner expansions.</li> <li>Design and build scalable data pipelines to feed richer, high-quality data into machine learning models.</li> <li>Own, support, and maintain machine learning models in production environments, ensuring high availability and performance.</li> <li>Collaborate with Product teams to identify, define, and build new machine learning applications across our stream.</li> <li>Work alongside Software Engineering teams to design robust interfaces between machine learning models and broader software systems.</li> <li>Communicate complex technical findings and model performance clearly to both internal and external stakeholders.</li> <li>Promote and uphold best practices in machine learning development, testing, and continuous deployment.</li> <li>Stay up to date with the latest machine learning research to identify and implement innovative techniques.</li> </ul> <p><strong>What We’re Looking For</strong></p> <p><em>Essential</em></p> <ul> <li>Strong programming proficiency in Python and solid knowledge of SQL.</li> <li>Practical experience working with Google Cloud Platform (GCP).</li> <li>Familiarity with Tensorflow, Keras or similar deep learning frameworks</li> <li>Either 2+ years of data science experience with an emphasis on productionising models, OR 2+ years in a software/data engineering role with formal study in machine learning.</li> <li>Good comprehension of fundamental machine learning concepts.</li> &l