The opportunity
Deliveroo is hiring a Senior Data Scientist to join BizOps, based in our London HQ (hybrid, minimum three days per week in the office).
What you'll do
Answer the questions that matter, continuously. Maintain a rigorous view on: business performance: Are we on track against our goals? What's changed? How does this compare with what we expected? What should we expect next? Then go further: Why is it happening, what matters most, and what should we do about it?”
Own delivery end-to-end. Independently identify, define, and deliver: impactful work aligned with business goals, operating with minimal guidance to ship fast, high-quality solutions.
Navigate ambiguity. Deconstruct broad, ambiguous problem spaces into: structured analytical roadmaps, and understand how your work intersects with adjacent systems and teams.
Build for scale, not one-offs. Build the pipelines, models, dashboards,: monitoring, and investigative tooling that make performance visible and reliable. Automate wherever possible; redoing analyses by hand is slow and error-prone.
Measure impact with discipline. Design measurement strategies from simple A/B: tests to quasi-experimental designs (synthetic control, difference-in-differences, event studies) when trials aren't feasible, always with conservative, assumption-explicit language.
Be a first responder. Surface deviations before they become escalations, and: be just as willing to give the confident "this is noise, no action needed" as the alarm.
What they're looking for
- Communicate to influence. Translate complex findings into clear, simple,: actionable recommendations for both technical and non-technical audiences that shape roadmaps and decisions.
- Raise the bar. Contribute to the broader Analytics community, improve shared: approaches and best practices, and help build data literacy across the business.
- Experience in an analytical or data science role, such as data analytics,: data science, forecasting, planning, strategy analytics, or a similar discipline. Experience in logistics, e-commerce, marketplaces, or another fast-moving, customer-focused business is useful but not essential.
- 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.
