Senior Data Scientist
Level inferred from job title
Job description
Senior Data Scientist in Ocado Group's Autoplanner team, building AI-powered planning systems that unify planning across global warehouses and last-mile operations. The role develops machine learning models, optimisation algorithms and operational simulations underpinning core planning products.
At a glance
- Employment
- Full-time
- Work mode
- Hybrid · London, United Kingdom
What you'll do
- Deliver machine learning models for planning products, iterating from initial prototype to evaluated and monitored production artefacts.
- Explore innovative modelling and optimisation approaches, benchmarking and testing them rigorously against existing solutions.
- Build and extend simulations of warehouse operations and customer demand to validate and power live operational plans.
- Define and measure business-critical metrics using robust statistical techniques, establishing the team's standards for model evaluation.
- Set the technical direction and delivery strategy for the data science initiatives you lead.
- Develop the technical capabilities of data scientists across the team through mentoring, technical guidance, and collaboration.
- Partner with software engineers to ensure models are cleanly packaged, deployed, monitored, and efficiently served on the platform.
- Own relationships with product managers, internal partner teams, and external retailers to align on requirements and delivery roadmaps.
What we're looking for
- Proven track record of taking data science and machine learning models into production, maintaining them, and leading initiatives end-to-end.
- Strong machine learning and statistical expertise, including the ability to evaluate model performance rigorously against business metrics.
- Fluency in writing production-quality Python code.
- Experience querying and working with large datasets in cloud data warehouses such as BigQuery, including implementing data-quality checks.
- Experience building simulations or stochastic models of operational systems.
- Practical experience using AI coding agents, alongside the critical judgement to verify and test generated code and outputs.
- Demonstrated ability to collaborate effectively with software engineers, product managers, and diverse business stakeholders.
Nice to have
- Experience with mathematical optimisation frameworks and toolkits, such as OR-Tools.
- Experience with discrete-event simulation libraries, such as SimPy.
- Background or domain knowledge in logistics, supply chain, or operational research.
Your team
Autoplanner team
Builds AI-powered systems that unify planning across global warehouses and last-mile operations.
Benefits
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.
Private Medical Insurance from your first month, wellbeing support through specialist apps and EAP, plus Income Protection and Life Assurance.
- 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% off at Ocado.com with free delivery (starting in your first month).
Apply
About Ocado Group
Bringing world-class automation to online grocery
Ocado Group brings world-class automation to online grocery. Its Ocado Smart Platform (OSP) combines robotics, AI, and IoT within advanced CFCs (Customer Fulfilment Centres), and it serves global partners.
Key facts
- Ocado Smart Platform (OSP) combines robotics, AI, and IoT within advanced CFCs (Customer Fulfilment Centres)
- Mastered the single pick
- Works with global partners
What they value
- Be bold, be unique, be brilliant, be you
- We value diversity