---
title: 'Data Science Manager at Deliveroo'
canonical: 'https://feeny.ai/job/data-science-manager-deliveroo-london-yws7bhh740vx'
type: 'job'
last_seen: '2026-09-13'
---

# Data Science Manager at Deliveroo

- **Company:** [Deliveroo](https://feeny.ai/companies/deliveroo)
- **Location:** London, United Kingdom
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-07-24
- **Last confirmed live:** 2026-09-13
- **Apply:** https://jobs.ashbyhq.com/deliveroo/84ede6a9-ccc2-40cb-b7e9-93652175a4bf/application

**Skills:** Experimentation, Causal inference, Applied machine learning, Data analysis

> 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.

## About Deliveroo

## Company Overview
- **One-liner**: Deliveroo operates a hyperlocal three-sided marketplace that connects consumers, restaurants and grocers, and riders to deliver food and other neighbourhood goods in under 30 minutes.
- **Entity Type**: Public (London Stock Exchange: ROO)
- **Headquarters**: London, United Kingdom
- **Founded**: 2013
- **Founders**: Will Shu

## Core Business
- **Primary industry**: Online food delivery and on-demand grocery / local commerce
- **Target customers**: B2C (consumers), B2B (restaurants, grocers, retailers), and B2C (riders as independent contractors)
- **Mission or purpose**: To transform the way you shop and eat, bringing the neighbourhood to your door by connecting consumers, restaurants, shops and riders.

## Products & Services
- **Restaurant Delivery**: Core service delivering meals from over 160,000 restaurant and grocery partners, many of which never offered delivery before.
- **Deliveroo Hop**: Rapid on-demand grocery delivery from a network of delivery-only sites, rolling out in several markets.
- **Deliveroo Shopping**: Non-food retail delivery, bringing items from local shops (e.g., flowers, cards, electronics) to consumers.
- **Editions**: Delivery-only kitchens that help restaurants expand to new areas at lower cost and risk, powered by Deliveroo’s data insights.

## Market Standing
- **Valuation/Market Cap**: Publicly traded – market cap not provided in available materials; check financial sources for latest figure.
- **Key Metric**: Operates in 10 markets worldwide, serving millions of consumers with thousands of riders and 160,000+ restaurant/grocery partners.
- **Notable Investors/Partners**: Key grocery partners include Co-op, Conad, Carrefour, Casino, Marks and Spencer, Picard, Waitrose, and Whole Foods Market. (Prior venture investors not detailed in provided sources.)
- **Growth Signals**: Expanding on-demand grocery via Deliveroo Hop; launching Deliveroo Shopping for non-food items; continuous investment in machine learning logistics (Frank algorithm); growing Editions network.

## Competitive Advantages
- **Hyperlocal logistics technology**: Proprietary Frank algorithm uses machine learning to optimise routing, preparation times, and delivery efficiency neighbourhood by neighbourhood.
- **Three-sided marketplace**: Deep network effects connecting consumers, merchants, and riders – hard to replicate at scale.
- **Editions (delivery-only kitchens)**: Lowers barrier for restaurant expansion and increases selection in underserved areas.
- **Rider value proposition**: Free personal accident and third-party liability insurance for all self-employed riders from day one, flexible work, and good earnings.

## Strategic Focus
- **Grocery and retail expansion**: Scaling Deliveroo Hop and Deliveroo Shopping to become the definitive online food and neighbourhood commerce platform.
- **Technology leadership**: Continued investment in real-time coordination, machine learning, and logistics optimisation.
- **Market penetration**: Deepening presence in existing 10 markets while improving selection, experience, and value for consumers.

## Why Work Here
- **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.

## Sources
1. [deliveroo.co.uk](https://deliveroo.co.uk/about-us) – Company overview, history, products, and values.
2. [careers.deliveroo.co.uk](https://careers.deliveroo.co.uk/) – Career page with mission, culture, and team size.
3. [careers.deliveroo.co.uk](https://careers.deliveroo.co.uk/locations/united-kingdom/) – UK-specific benefits, office locations, and compensation details.
4. [careers.deliveroo.co.uk](https://careers.deliveroo.co.uk/how-we-hire/) – Hiring process and interview tips.

## Other roles at Deliveroo

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- [Corporate Account Manager](https://feeny.ai/job/corporate-account-manager-deliveroo-london-6kvsjt0seq27) — London, United Kingdom
- [Staff Machine Learning Engineer - Ads Bidding](https://feeny.ai/job/staff-machine-learning-engineer-ads-bidding-deliveroo-london-qvsebp47gxxn) — London, United Kingdom
- [Senior Machine Learning Engineer - Conversational AI](https://feeny.ai/job/senior-machine-learning-engineer-conversational-ai-deliveroo-london-vzjkrxxjmvr6) — London, United Kingdom
- [Software Engineer, Backend (BI Platform)](https://feeny.ai/job/software-engineer-backend-bi-platform-deliveroo-london-vwt4ayxtmd9v) — London, United Kingdom
- [BI Engineer](https://feeny.ai/job/bi-engineer-deliveroo-london-y11gcbxtfhn1) — London, United Kingdom
- [Rider Onboarding Operations Representative](https://feeny.ai/job/rider-onboarding-operations-representative-deliveroo-london-q4cge4yjpjna) — London, United Kingdom
- [Strategy & Operations Manager](https://feeny.ai/job/strategy-operations-manager-deliveroo-london-b45f4d1w47k9) — London, United Kingdom
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- [Corporate Sales Team Lead](https://feeny.ai/job/corporate-sales-team-lead-deliveroo-london-9s2z3dna85tg) — London, United Kingdom