Senior Data Scientist - Experimentation

SENIOR DATA SCIENTIST 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 our 3 sided marketplace. We’re looking for a Senior Data Scientist to join our London team (working hybrid, 3 days in the office). In this role, you’ll drive high-quality decision-making to maximise impact. We’re hiring multiple Senior Data Scientists across different areas of the business. 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, remit and team. ABOUT OUR DATA SCIENCE ORGANISATION We have an outstanding Data Science organisation, with a mission to drive the highest quality decision-making across our marketplace. We work throughout the company, in product, operations, and platform teams and are uniquely placed to use data to help make better decisions and improve data literacy across Deliveroo. We are great communicators, and move fast to serve our customers a little better every day. Our community is highly active, with guest lectures, study groups, mentorship programmes and a robust technical review process. Data Scientists can progress equally as IC leads or managers. Our data scientists come from all kinds of backgrounds but have excellence in common. Many are formally trained in data science, many are not. WHAT YOU’LL BE DOING Here’s what your day-to-day might look like: * Proactive Impact Delivery: You will independently identify, define, and deliver impactful work that aligns with business goals and metrics, operating with minimal guidance to provide high value to your team and the broader organisation. You will own delivery end-to-end, ensuring the delivery of fast, high-quality, solutions that meet business needs. * Navigating Ambiguity and Complexity: You will excel at deconstructing broad, ambiguous problem spaces into structured technical roadmaps, managing projects that require both deep team-specific rigour and an understanding of how they intersect with adjacent systems. * Strategic Technical Execution: Drive strategic decision-making by selecting the most effective tool or method for the task, maintaining a focus on high-quality execution and measurable results. You will act as a well-trusted strategic partner to stakeholders, using analytics, effective communication and domain expertise to influence roadmaps. * Experimentation and measurement: Design and lead measurement strategies that drive product direction, ranging from simple A/B tests to complex experimental designs. You will be equally capable of applying alternative causal inference techniques when standard trials aren't feasible, ensuring the business moves based on data driven insights. * Organisational Alignment: Actively contribute to the broader Analytics community, driving L+D initiatives and cross-functional collaboration. You will ensure we are delivering the "right" things org-wide by aligning technical work with overarching business strategy and shared best practices. WHAT YOU’LL NEED TO THRIVE Our ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others: * Significant experience in Data Science (or similar) roles. * A pragmatic and adaptable approach, with a strong focus on delivering impact efficiently at pace. * Excellent people skills — you'll be meeting with a range of both technical and non-technical stakeholders to translate business needs into data science problems * Experience leading both simple and more complex experiment designs, with the ability to proactively unpick insights to steer strategic decision making * Great communication skills - in person, in writing, in code; to technical and non-technical audiences. * Through solid analysis, provide clear and actionable recommendations that influence the team's roadmap. * Effective problem-solving, demonstrating an ability to successfully address complex and ambiguous challenges. * Ability to think creatively and insightfully about business problems * Proficiency with analytical tools like R/Python and familiarity with SQL. Proficiency with Cursor/AI tools to deliver impactful, high quality work efficiently is also valued Why Join Us? At Deliveroo, you’ll do work that matters, solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎A culture built for builders High standards, collaboration, flexible working and continuous learning. 💰 Share in the success you help create Competitive salary and equity options, so you’re rewarded for the impact you Make. We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Find more about how we hire here. Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! #LI-ES1

DATA SCIENCE MANAGER – DELIVERY TEAM 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, supply and demand, load management and network economics. The work is highly specific to Deliveroo’s marketplace and requires balancing multiple interconnected outcomes across riders, consumers and the wider delivery network. 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. WHAT YOU’LL BE DOING You’ll 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. The team spans a range of experience levels and is continuing to grow. You’ll 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. 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. WHAT YOU’LL NEED TO THRIVE 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. We’re more interested in your ability to solve complex analytical problems within a dynamic, multi-sided marketplace. 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.