
Data Science Manager at Deliveroo (London, United Kingdom)
Deliveroo· London, United Kingdom·
Role details
High Autonomy · L&D Programmes · Mentoring · Peer Learning · Wellbeing Benefits
Deliveroo at a glance
A hyperlocal three-sided marketplace connecting consumers, restaurants and grocers, and riders to deliver food and local goods in under 30 minutes.
Deliveroo runs a hyperlocal three-sided marketplace that connects consumers, restaurants and grocers, and self-employed riders to deliver food and local goods in under 30 minutes. Its machine-learning logistics engine (Frank) matches riders to orders neighbourhood by neighbourhood across 10 markets and 160,000+ partners.
N/A (public via 2021 LSE IPO, then acquired) raised · latest: Acquired by DoorDash · $3.9B cash · completed October 2025 · backed by DoorDash, Inc. (acquirer, 2025)
Summary
The Data Science Manager leads analytical direction and team performance for Deliveroo's data science organization. This role involves building experimentation and causal inference frameworks to drive customer retention and growth, while managing a team of data scientists and machine learning engineers.
Job description
DATA SCIENCE MANAGER
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 and causal inference.
We’re hiring multiple Data Science Managers across different areas of the business. All of these roles are at the same level. Rather than hiring for one fixed team, we use the interview process to understand your strengths, interests and development areas, and then align you to the right scope and team at the end of the process, based on your background, interview performance, preferences and current business needs.
We’re also advertising some opportunities separately where particular domain experience is especially relevant. You only need to submit one application, as we’ll consider your profile across all suitable Data Science Manager vacancies. Before an offer is made, you’ll have the opportunity to meet the proposed team, either virtually or at our London headquarters, and learn more about the role’s scope and priorities.
WHAT YOU’LL BE DOING
You’ll own the analytical direction and measurable impact of a product or business area, while leading and developing a high-performing team of data scientists or machine learning engineers.
Our Data Science Managers work across a range of consumer, product and commercial areas. Depending on the team you join, your work could focus on areas such as customer retention and loyalty, pricing and promotions, discovery and personalisation, or customer acquisition and engagement.
Across all roles, you’ll lead and develop your team, set the analytical direction for your area and decide which problems are worth solving. You’ll ensure data science work translates into better product and commercial decisions, not just analysis.
You’ll remain hands-on while managing a team, partnering with Product, Engineering, Ops, Marketing and Finance as a thought partner. You’ll set the bar for analytical rigour, prioritisation and impact across noisy metrics, real trade-offs and strong stakeholder opinions.
WHAT YOU’LL NEED TO THRIVE
Our ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others:
- Experience line managing data scientists and supporting their career development
- A strong background as a senior individual contributor, with hands-on experience in experimentation, causal inference or applied machine learning
- Proven ability to identify high-impact opportunities and turn insights into clear strategy and execution
- Confidence working with senior stakeholders and explaining complex technical concepts to non-technical audiences
- Comfort operating in fast-moving, ambiguous environments where prioritisation and judgement matter as much as technical skill
WHY JOIN US?
At Deliveroo, you’ll work on real-world problems at global scale, across a three-sided marketplace that is constantly evolving.
We’re food lovers, problem solvers, community organisers and more, united by a shared drive to make things better. Working here, you can expect:
- High autonomy to shape strategy and deliver meaningful impact
- Support to learn and grow through L&D programmes, mentoring and peer learning
- A strong focus on wellbeing, with benefits that vary by country
- A place to belong, with a diverse global workforce and active employee communities
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 own impact and shape how decisions are made at Deliveroo? Apply today.
Why work at Deliveroo
- Culture: Values-driven, innovative, and inclusive – Employee Resource Groups, regular social events, and a focus on career-defining work.
- Work environment: Offices across the UK (London HQ, Birmingham, Bristol, Edinburgh, Leeds, Manchester) with excellent kit for remote work and a parent-friendly culture.
- Benefits (UK):
- 25 days annual leave + bank holidays, increasing with tenure; one paid volunteer day per year.
- Competitive compensation, annual cash bonus, sign-on bonus, relocation support, and up to 5% matched pension.
- Equity awards for eligible roles.
- Private healthcare (single cover funded), gym access (HQ on-site, discounted external), wellbeing apps (LesMills+, Strava, Headspace, Yogaia) via GymPass.
- Life assurance, discounted dental, critical illness cover, travel insurance.
- Free Deliveroo Plus (free delivery), team lunches from local restaurants.
- Cycle to Work Scheme, Season Ticket Loans, free mortgage advice.
- Excellent learning & development via RooLearn platform.
- Engineering culture: Tackle complex scale and machine learning problems coordinating millions of real-time interactions across a three-sided marketplace.