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About the Role

Logistics is the engine room of our platform, and data science sits at the heart of critical real-time decisions. As Data Science Manager for Logistics, you will lead a team building data-driven solutions, owning the vision and execution for your vertical, setting strategy, raising the technical bar, and developing senior scientists and team leads. This high-impact role requires translating complex logistics challenges into modeling strategies and ensuring solutions move key business metrics.

Responsibilities

Lead, coach, and scale a high-performing team of 15–20 Data Scientists, Operations Research Scientists, and Machine Learning Engineers.
Build a durable leadership bench by mentoring senior individual contributors and team leads toward management and staff-level impact.
Act as the strategic owner of hiring, workforce planning, and organizational design to structure the team effectively as it scales.
Foster a high-velocity, intellectually honest culture grounded in experimental rigour, high technical quality, and strong outcome ownership.
Own the logistics data science roadmap, partnering with cross-functional leadership to identify and prioritize high-leverage business opportunities.
Translate intricate logistics challenges like network congestion, pricing inefficiencies, and supply shortfalls into robust modeling strategies.
Represent the vertical on the data leadership team, driving tooling and operational standards that elevate data science across the entire company.
Collaborate with ML Engineering to architect, deploy, and monitor highly scalable, production-ready machine learning systems.
Guide technical decisions regarding real-time inference and optimization under uncertainty, maintaining a strict bar for model reliability and maintainability.
Act as the primary data science voice to VP-level stakeholders, translating complex model behavior into business outcomes that move key logistics metrics.

Requirements

A Master's or PhD in a quantitative field: Data Science, Statistics, Operational Research, Mathematics, Computer Science, or similar.
A proven track record leading high-performing data science teams in a fast-moving product or tech environment, with direct management experience across senior ICs and team leads.
Deep expertise in machine learning, optimisation, and statistical modelling, with strong intuition for where these techniques create real business leverage.
Hands-on experience building and deploying ML models in production, ideally in real-time or high-throughput systems.
Fluency in causal inference and experimentation, including advanced designs such as switchback testing, difference-in-differences, and marketplace-aware frameworks.
Strong commercial instincts, connecting modelling decisions to P&L, courier supply health, and customer experience.
Excellent communication skills, with the ability to influence technical peers and senior business leaders alike.

Skills

Machine learning
Optimisation
Statistical modelling
Causal inference
Experimentation
Switchback testing
Difference-in-differences
Marketplace-aware frameworks

Location

Global

Work Type

Full-time

Experience Level

Management
Senior

Education Level

Master's degree
PhD

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.
With over 60 million active users across 24 countries, here at Just Eat Takeaway.com we’re a global food tech company, connecting our customers from Amsterdam to Auckland with the food they love.

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.