About the role
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, causal inference and machine learning. Our Analytics community is highly active, with guest lecturers, study groups, mentorship programmes and a robust technical review process. Our data scientists come from all kinds of backgrounds but have excellence in common. 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. What You’ll Be Doing As a Senior Data Scientist at Deliveroo, your goal is to maximise business impact within one of our product areas. A core part of
the role is designing, running and interpreting experiments, and using causal inference to guide product decisions in complex, real-world settings. You will go beyond simply answering “did this feature work?” and instead focus on understanding what the true impact is, why it worked or did not work, and how results generalise across users, markets and time. Here’s what your day-to-day might look like: Driving Strategy/insights through Experimentation: Leading the design of both simple and complex experiments and proactively translating findings into strategic direction. Master Causal Inference : Apply advanced techniques to estimate long-term and heterogeneous treatment effects. Drawing reliable conclusions in settings with selection bias or imperfect randomisation. Drive Deep Product Insights: Uncover the fundamental drivers of experiment performance, determining why features succeed and how results generalise across different users, markets, and timeframes. Using insights from past experiments to improve future decision-making . What You’ll Need to Thrive Strong experience designing, running and interpreting A/B experiments in production environments Solid understanding of causal inference concepts Ability to apply statistical thinking to messy, real-world product problems, not just ideal experimental setups Great communication skills in person, in writing and in code, with both technical and non-technical audiences A problem solver with a deep analytical mindset Ability to think creatively and insightfully about business problems Familiarity with SQL Excellent people skills as you will be meeting with stakeholders to translate business needs into data science problems