Senior Data Scientist

Deliveroo
London - The River Building HQPosted 16 April 2026

Tech Stack

Job Description

Senior Data Scientist 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 Analytics organisation sits at the heart of Deliveroo powering decision-making across product, commercial and operations through experimentation and causal inference. 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 enable high-quality human-led 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 ANALYTICS ORGANISATION We have an outstanding analytics organisation, with a mission to enable the highest quality human and machine decision-making. Our community is highly active, with guest lectures, study groups, mentorship programmes and a robust technical review process. Data Scientists can progress equally as technical leads or people 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 You will help answer questions like: - Which markets/cities should we enter next? - How can we incentivise good rider behaviour? - What is the impact of exclusive deals we have with restaurants? - How do we optimise our compensation policy to keep our customers happy and ordering with Deliveroo? - What are the trade-offs we face when choosing between growth and profitability? How should we decide between them? - How much should our pricing vary by distance and by market? - What is the optimum selection and variety of restaurants in a particular area? - How do we adapt our consumer app to better suit grocery shoppers? WHAT YOU’LL NEED TO THRIVE - Significant experience in Data Science (or similar) roles. - 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 - A pragmatic, flexible approach, where you most care about achieving impact - 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 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 i ... (truncated, view full listing at source)
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