About the job
Data Science Manager
At Deliveroo, we are committed to revolutionizing the way people shop and dine. Our mission is driven by a culture of impact, innovation, and growth. The Data Science team is pivotal to our operations, facilitating insightful decision-making for our product, commercial, and operational teams through advanced experimentation, causal inference, and cutting-edge machine learning techniques.
We are excited to expand our team by hiring multiple Data Science Managers across various business domains. Instead of slotting you into a predefined role, our recruitment process aims to uncover your unique strengths and interests, enabling us to match you with a position that aligns perfectly with your skills and aspirations.
Your Responsibilities
As a Data Science Manager, you will lead the analytical strategy and drive measurable outcomes for a specific product or business area while mentoring a high-performing team of data scientists or machine learning engineers. Your responsibilities will include:
Designing and implementing experimentation and causal inference frameworks to enhance customer retention, loyalty, and subscription growth.
Spearheading pricing, promotions, and value strategies that balance growth with profitability and long-term customer trust.
Creating machine learning or optimization models to enhance delivery logistics, rider pricing, or marketplace efficiency.
Enhancing discovery, search, or personalization through rapid iteration on impactful algorithms.
Driving customer acquisition and engagement across restaurants, retail, or new verticals using data-driven targeting and incentives.
In all roles, you will remain actively engaged while managing your team. You will identify significant problems worth addressing and ensure that data science efforts translate into actionable insights for improved product and commercial strategies. Collaboration with Product, Engineering, Operations, Marketing, and Finance will be essential as you set the standard for analytical rigor, prioritization, and impact amidst complex metrics and stakeholder opinions.
Your Qualifications
The ideal candidate will possess strong expertise in some of the following areas while demonstrating a desire to grow in others:
Proven experience in managing data scientists or machine learning engineers and facilitating their professional development.
A substantial background as a senior individual contributor, with practical experience in experimentation, causal inference, or applied machine learning.
Demonstrated skill in identifying high-impact opportunities and transforming them into actionable strategies.

