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About the Role
As a Senior Data Scientist within the Autoplanner team, you will build AI-powered systems that unify planning across global warehouses and last-mile operations. You will develop machine learning models, optimisation algorithms, and operational simulations for core planning products. Your work will ensure automated operational plans are robust, globally optimised, and trusted for live use across international supply chains. You will also set technical direction, mentor colleagues, and translate complex logistics challenges into data science solutions.
Responsibilities
- 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.
Requirements
- 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.
- 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.
Skills
- Machine Learning
- Statistical Expertise
- Python
- BigQuery
- AI Coding Agents
- Mathematical Optimisation
- Discrete-Event Simulation
- Logistics
- Supply Chain
- Operational Research
Location
- London
Work Type
- Hybrid Working
Experience Level
- Senior
Benefits
- 25 days annual leave (rising to 27 after 5 years), plus the option to buy more
- 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
- Income Protection and Life Assurance
- 22 weeks paid maternity/primary carer leave
- 6 weeks paid paternity leave
- Pension with employer matching up to 7%
- Share schemes (Sharesave & BAYE)
- Interest-free loans for train tickets
- Cycle to Work Scheme
- Free shuttle buses to/from Hatfield and Welwyn Garden City stations
- 15% off at Ocado.com with free delivery
About the Company
- 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.
Equal Opportunity
- We are looking for individuality and we value diversity.
- We are an equal opportunities employer and we are committed to treating all applicants and employees fairly and equally.
- We are committed to making reasonable adjustments to provide a positive, barrier-free recruitment process and supportive work environment.
- If you have any support or access requirements, we encourage you to advise us at the time of application.