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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Ocado Group - **Location:** London, UK - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Geographic Information Systems, Code Review, Computer Programming, Continuous Delivery, Continuous Integration, Information Engineering, Machine Learning, Tensorflow, Software Engineering, Software Systems, Google Cloud, System Availability, Deep Learning, Keras, Build Management, Data Pipelines - **Published:** September 5, 2026 - **Apply:** https://startup.jobs/data-scientist-ocado-group-2-9896229 ## About the Role Essential * Strong programming proficiency in Python and solid knowledge of SQL. * Practical experience working with Google Cloud Platform (GCP). * 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. * Good comprehension of fundamental machine learning concepts. * Familiarity with modern software development processes, including code reviews, CI/CD, testing, and documentation. * Ability to document and explain technical concepts clearly to non-technical audiences. Nice to Haves * Experience with deep learning frameworks such as TensorFlow or Keras. * Knowledge of time-series modelling techniques, particularly transformers. * Experience working with geospatial data and geospatial modelling techniques. ## Description 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. 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., * Improve existing model architectures and adapt them to solve new operational challenges and support global partner expansions. * Design and build scalable data pipelines to feed richer, high-quality data into machine learning models. * Own, support, and maintain machine learning models in production environments, ensuring high availability and performance. * Collaborate with Product teams to identify, define, and build new machine learning applications across our stream. * Work alongside Software Engineering teams to design robust interfaces between machine learning models and broader software systems. * Communicate complex technical findings and model performance clearly to both internal and external stakeholders. * Promote and uphold best practices in machine learning development, testing, and continuous deployment. * Stay up to date with the latest machine learning research to identify and implement innovative techniques. ## Related Videos - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Are Code Reviews Worth It? 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