Location
London (Hybrid Working)
Hours
Full Time
Salary
Negotiable
About the Role
We are Ocado Group, bringing world-class automation to online grocery through our Ocado Smart Platform (OSP), which combines cutting-edge robotics, AI, and IoT within advanced Customer Fulfilment Centres. As a Data Scientist in our Treefrogs team, you will play a key role in powering machine learning algorithms behind Ocado Group’s Logistics and Supply Chain technology. Your work will drive mission-critical models that influence 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. You will collaborate closely with software engineering, data engineering, and product teams to solve 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 machine learning applications to ensure our systems remain reliable, scalable, and cutting-edge.
Experience
- 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.
About you
- Ability to document and explain technical concepts clearly to non-technical audiences.
- Collaborative mindset to work effectively with cross-functional teams.
- Passionate about staying up to date with the latest machine learning research and applying innovative techniques.
Qualifications
Formal study in machine learning or related fields is expected either through education or professional experience.
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.
Benefits
- 25 days annual leave (rising to 27 after 5 years), plus option to buy more and 30 days a year to work from anywhere in the world.
- Private Medical Insurance from your first month, wellbeing support through specialist apps and Employee Assistance Programme, plus Income Protection and Life Assurance.
- Family-first policies including 22 weeks paid maternity/primary carer leave and 6 weeks paid paternity leave.
- Pension with employer matching up to 7%, share schemes (Sharesave & BAYE), and interest-free loans for train tickets.
- Cycle to Work Scheme and free shuttle buses to/from Hatfield and Welwyn Garden City stations.
- 15% discount at Ocado.com with free delivery starting in your first month.
We value individuality and diversity and are committed to equal opportunities and a barrier-free recruitment process. Reasonable adjustments can be made to support applicants and employees.