Data Scientist

ocadogroup; Greater London; On-site; GBP 65,000 - 95,000; Full time

Benefits offered by this job

Annual leave up to 30 days

Private medical insurance

Employer pension match

Sharesave / BAYE

Cycle to work

Job summary

Ocado Group in London is seeking a Data Scientist for the Logistics & Fulfilment team. You will own the ML lifecycle from research to production, powering forecasting, drive-time predictions, and supplier reliability for global partners.

Collaborate with cross-functional teams to deploy scalable ML solutions that improve operational efficiency and partner revenue. In this role you will design data pipelines, refine architectures, and stay at the forefront of ML research while ensuring

Qualifications

• Strong programming in Python and SQL.
• Experience with Google Cloud Platform (GCP).
• 2+ years data science with productionising models or 2+ years software/data engineering with ML study.
• Good understanding of ML fundamentals.
• Familiar with CI/CD, testing, and documentation.

Responsibilities

• Improve model architectures for operational challenges and scale for global partners.
• Design and build scalable data pipelines for ML models.
• Own and maintain ML models in production with high availability.
• Collaborate with product, data, and software teams on ML applications.
• Interface ML models with broader software systems.
• Communicate complex results to technical and non-technical audiences.
• Promote best practices in ML development and deployment.
• Stay updated with latest ML research and techniques.

Skills

Python

SQL

GCP

CI/CD

Documentation

Tools

TensorFlow

Keras

Job description

Data Scientist | Logistics & Fulfilment | Hybrid Working | London

Introduction:

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.

About the Role

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.

Key Responsibilities

• 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.

What We're Looking For

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.

Benefits

• Time to recharge: 25 days annual leave (rising to 27 after 5 years), plus the option to buy more - and 30 days a year to work from anywhere in the world.
• Health & wellbeing: Private Medical Insurance from your first month, wellbeing support through specialist apps and EAP, plus Income Protection and Life Assurance.
• Family-first policies: 22 weeks paid maternity/primary carer leave and 6 weeks paid paternity leave
• Financial support: Pension with employer matching up to 7%, share schemes (Sharesave & BAYE), and interest-free loans for train tickets.
• Commuter perks: Cycle to Work Scheme and free shu