Data Science Manager - Delivery Team - deliveroo

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.