About the company
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.
Responsibilities
- 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.
- 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.
- 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.
- Apply systems thinking to understand knock-on effects across the network.
- Work closely with stakeholders across Operations, Product, Machine Learning and Engineering.
- Maintain high analytical standards, delegate effectively and support team development through coaching and feedback.
Requirements
- 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.
Conditions
- 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.
- This is a hands-on management role, with a meaningful portion of your time spent on direct technical contribution.