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About the Role
We are looking for a Director of Data Science & Machine Learning to lead the function behind real-time logistics decisions and optimize our network. This is a leader-of-leaders role, managing a global team of 90+ data scientists, operations research scientists, ML engineers, and MLOps engineers through managers and principal data scientists. You will set the DS/OR/ML agenda, focusing on keeping real-time decision systems reliable at marketplace scale while advancing optimization, supply/demand shaping, and applied AI.
Responsibilities
- Deliver measurable improvement in delivery time, courier utilization, cost per order, and courier pay efficiency.
- Own the strategy and roadmap for real-time decision systems, including demand forecasting, supply balancing, order-to-courier assignment, and dynamic pay/fee pricing.
- Understand and shape courier behavior through incentive and pay design grounded in economics and causal modeling.
- Set the Operations Research agenda, focusing on combinatorial optimization, solvers, and simulation for capacity planning and policy testing.
- Establish validation standards before launch using backtesting and simulation frameworks.
- Own the quality of the ML platform and MLOps standards, including feature and model pipelines, CI/CD, serving, monitoring, and drift detection.
- Drive experimentation and causal inference in a marketplace, including switchback and geo-based designs, and connect experiment results to long-term outcomes.
- Build applied AI that delivers value in production, including LLM-based and agentic products.
- Build the organization by hiring and developing managers and principals, and establishing university partnerships.
- Partner with Logistics Product, Logistics Engineering, Commercial, and central Technology on production delivery of dispatch, estimations, pay, and supply/demand shaping actions.
Requirements
- Leadership experience in Data Science, ML, or Operations Research, including leading large, cross-time zone organizations through managers and developing those managers.
- Deep credibility in real-time ML and marketplace or network optimization (logistics, ride-hailing, delivery, or similar).
- Experience taking models from research into low-latency production at scale.
- Strong grounding in experimentation and causal inference under network effects.
- Understanding of the economics of multi-sided marketplaces where participants respond strategically.
- Excellent stakeholder management and communication skills, with the ability to influence Product and Engineering leadership and translate technical choices into business outcomes.
- A pragmatic approach to AI, focusing on delivering value.
- Advanced degree in a quantitative field or equivalent experience.
Skills
- Data Science
- Machine Learning
- Operations Research
- Real-time ML
- Marketplace Optimization
- Network Optimization
- Low-latency production systems
- Experimentation
- Causal Inference
- Economics
- Multi-sided marketplaces
- Stakeholder Management
- Communication
- Applied AI
- LLM
- Agentic products
- Combinatorial optimization
- Solvers
- Simulation
- Backtesting
- MLOps
- CI/CD
- Feature pipelines
- Model pipelines
- Online serving
- Batch serving
- Monitoring
- Drift detection
Location
- London
- Amsterdam
Work Type
- Hybrid
Experience Level
- Director
Education Level
- Advanced degree in a quantitative field or equivalent experience
About the Company
- We’re a leading global online delivery platform, and our vision is to empower everyday convenience.
- Our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe.
- Our logistics network spans 16 markets, hundreds of thousands of couriers and more than 350 million orders a year.
- Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment.
- Being the best at what we do isn’t just about delivering on our strategy. It's a competition for something incredibly valuable – our customers' choice.
- At the heart of the JET Customer League are our values and behaviours. They guide every interaction, every decision, every innovation.
- Fun, fast-paced and supportive, the JET culture is about movement, growth, helping one another to succeed and celebrating wins.
- By truly living our values and embodying our behaviours, we’re building a customer-first culture which enables us to stay one step ahead of the competition.
- Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET journeys.
Equal Opportunity
- No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat Takeaway.com. We’re committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day.