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Salary
$114k – $219k per year (Estimated)
Location
In office (London)
Employment
Full-Time
Overview
Company
Impact
Profile match
Deliveroo is an award-winning delivery service founded in 2013 by William Shu and Greg Orlowski. Deliveroo works with approximately 176,000 best-loved restaurants and grocery partners, as well as around 150,000 riders to provide the best food delivery experience in the world. Deliveroo is headquartered in London, with offices around the globe.

Data Science Manager - Delivery Team

Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Data Science organisation sits at the heart of Deliveroo, powering decision-making across product, commercial and operational teams through experimentation, causal inference and applied machine learning.

We’re hiring a Data Science Manager to join our Delivery team. Delivery is responsible for making sure we have the right rider supply to meet consumer demand at a local level, while maintaining speed, reliability and network efficiency.

You’ll lead a team focused on areas such as rider pay, incentives, supply and demand, load management and network economics. The work is highly specific to Deliveroo’s marketplace and requires balancing multiple interconnected outcomes across riders, consumers and the wider delivery network.

This role is based in London and sits within the wider Delivery Data Science team. You’ll report to a Senior Data Science Manager and partner closely with Operations, Product, Machine Learning and Engineering teams.

What You’ll Be Doing

You’ll own the analytical direction and impact of a defined area within Delivery, while leading and developing a team of approximately 4 to 6 data scientists.

The team spans a range of experience levels and is continuing to grow. You’ll provide structure, coaching and technical direction to help them operate effectively in a complex, fast-moving environment.

Depending on scope, your team may work across areas such as:

  • rider pay, incentives and surge pricing;

  • rider supply and fleet sizing at a local level;

  • balancing supply and consumer demand;

  • load management and network performance;

  • understanding rider behaviour, including changes in acceptance rates;

  • using experimentation to understand how riders and the network respond to changes in pay, incentives and demand signals;

  • improving how different operational and economic levers are used across the delivery system.

You’ll identify the highest-value problems, guide the team towards the right analytical approach and ensure the work leads to clear operational, product and commercial decisions.

A key part of the role is applying systems thinking. Changes to pay, supply, incentives or dispatch can have knock-on effects across the network, so you’ll need to reason through these interactions and support informed trade-offs.

You’ll work closely with stakeholders across Operations, Product, Machine Learning and Engineering, including teams closest to day-to-day rider and market performance.

This is a hands-on management role, with a meaningful portion of your time spent on direct technical contribution. Hands-on work is likely to be analytical, such as investigating market changes, interpreting experiments and unblocking complex problems.

You’ll also maintain high analytical standards, delegate effectively and support team development through coaching and feedback.

What You’ll Need to Thrive

Our ideal candidate will bring:

  • Experience line managing data scientists and developing high-performing teams

  • A strong background as a senior data science individual contributor

  • Strong expertise in experimentation and causal inference

  • The ability to reason through complex systems and understand how changes in one area affect wider network outcomes

  • Experience translating analysis into operational, product or commercial decisions

  • Strong stakeholder management skills and confidence working with senior leaders

  • The ability to bring structure to ambiguity, prioritise effectively and shape a clear roadmap

Experience in economics, marketplaces, logistics, mobility, supply and demand, pricing or operations would be valuable, but is not essential. We’re more interested in your ability to solve complex analytical problems within a dynamic, multi-sided marketplace.

Why Join Us?

Delivery is at the heart of Deliveroo’s customer proposition. The team’s work directly affects whether we have the right rider supply, how quickly orders arrive and how efficiently the marketplace operates.

In this role, you’ll work on distinctive and highly interconnected problems across network economics, logistics and rider operations. You’ll have significant autonomy to shape the team’s roadmap, influence senior stakeholders and develop a strong team of data scientists.

You’ll also have the opportunity to apply experimentation, causal inference and systems thinking to decisions that directly affect Deliveroo’s growth, service quality and network efficiency.

We’re looking for someone who is comfortable with ambiguity, can create structure where needed and can align teams around the most important problems.

Diversity, Equity and Inclusion

At Deliveroo, we believe great workplaces reflect the world around us. We welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion or belief.

If you require adjustments at any stage of the application or interview process, please let us know. We’re committed to ensuring everyone has an equitable opportunity to succeed.

Ready to shape how Deliveroo balances rider supply, consumer demand and delivery performance? Apply today.

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