At a Glance
- Tasks: Lead a team of data scientists to optimise rider supply and demand for Deliveroo.
- Company: Join Deliveroo, a leader in transforming the food delivery experience.
- Benefits: Competitive salary, diverse workplace, and opportunities for professional growth.
- Other info: Dynamic role with significant autonomy and collaboration across teams.
- Why this job: Make a real impact on how people shop and eat through data-driven decisions.
- Qualifications: Experience managing data scientists and strong analytical skills required.
The predicted salary is between 70000 - 90000 £ per year.
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 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.
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.
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.
Data Science Manager - Delivery Team in London employer: Deliveroo
Deliveroo is an excellent employer that fosters a vibrant work culture in Leeds, where innovation and collaboration thrive. With a strong focus on employee growth, we offer comprehensive training and development opportunities, ensuring our team members can advance their careers while making a meaningful impact in the local community. Join us to be part of a dynamic marketplace that values your contributions and rewards your efforts.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Manager - Delivery Team in London
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We think you need these skills to ace Data Science Manager - Delivery Team in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Deliveroo. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Deliveroo
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.