Senior Data Scientist

Our mission is to transform the way people shop and eat, bringing the neighbourhood to your door by connecting consumers, restaurants, shops and riders. We are a technology-driven company at the forefront of one of the most rapidly expanding industries in the world. Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition.

BizOps is the team that keeps its finger on the pulse of business performance: continuously, rigorously, and across multiple dimensions at once. We turn raw operational and financial data into actionable intelligence, surfacing what is happening, why it is happening, and what to expect next.

Deliveroo is hiring a Senior Data Scientist to join BizOps, based in our London HQ (hybrid, minimum three days per week in the office). This role is largely project-based: starting from a strategic or performance question, you'll combine data, business context, and structured problem-solving to provide the insights that drive decision-making at a global level with senior stakeholders.

• Answer the questions that matter, continuously. Maintain a rigorous view on business performance.
• Own delivery end-to-end. Independently identify, define, and deliver impactful work aligned with business goals.
• Navigate ambiguity. Deconstruct broad, ambiguous problem spaces into structured analytical roadmaps.
• Build for scale, not one-offs. Build the pipelines, models, dashboards, monitoring, and investigative tooling that make performance visible and reliable.
• Measure impact with discipline. Design measurement strategies from simple A/B tests to quasi-experimental designs.
• Be a first responder. Surface deviations before they become escalations.
• Communicate to influence. Translate complex findings into clear, simple, actionable recommendations.
• Raise the bar. Contribute to the broader Analytics community, improve shared approaches and best practices.

• Experience in an analytical or data science role, such as data analytics, data science, forecasting, planning, strategy analytics, or a similar discipline.
• Proficiency with SQL and a scripting language such as Python or R, alongside experience with BI or visualisation tooling such as Looker, Tableau, or similar.
• Comfortable using modern AI-assisted tools to work efficiently while maintaining high standards of accuracy and reproducibility.
• A pragmatic approach to problem-solving: you can balance analytical rigour with speed.
• Effective problem-solving skills.