Logistics Data Scientist — Hybrid Role in London

ocadogroup; Greater London; Hybrid; GBP 75.000 - 110.000; Vollzeit

Benefits dieser Stelle

25 days annual leave

Private Medical Insurance

Pension with employer matching

Sharesave / BAYE

Cycle to Work Scheme

Free shuttle buses

Ocado discounts

Zusammenfassung

Ocado Group is hiring a Data Scientist for our Logistics & Fulfilment team in London. The role focuses on ML models for demand forecasting, drive-time predictions, and supplier reliability within production environments.

You will own the data science lifecycle from research to deployment, collaborating with cross-functional teams to deliver robust, scalable ML solutions that boost operational efficiency and partner revenue.

Qualifikationen

• 2+ years in data science with productionising models.
• Or 2+ years in software/data engineering with formal ML study.
• Solid understanding of core ML concepts.
• Experience with Python, SQL, and GCP.
• Familiarity with CI/CD, testing, and documentation.

Aufgaben

• Improve model architectures and adapt for new operational challenges.
• Design scalable data pipelines feeding ML models.
• Own and maintain models in production with high availability.
• Collaborate with Product and Engineering teams on ML applications.
• Define interfaces between models and software systems.
• Communicate model results clearly to stakeholders.
• Uphold MLOps practices, testing, and CI/CD.
• Stay updated with latest ML research.

Kenntnisse

Python

SQL

GCP

Productionising

CI/CD

Documentation

Deep learning

Time-series

Tools

TensorFlow

Keras

Jobbeschreibung

Ocado Group is hiring a Data Scientist for our Logistics & Fulfilment team in London. The role focuses on ML models for demand forecasting, drive-time predictions, and supplier reliability within production environments.

You will own the data science lifecycle from research to deployment, collaborating with cross-functional teams to deliver robust, scalable ML solutions that boost operational efficiency and partner revenue.