
Opportunity at
DeliverooSenior Product Data Scientist
Deliveroo's analytics group guides choices across product, commercial and operations teams using experiments and causal inference. This London vacancy is one of several senior data scientist…
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About This Role
Deliveroo's analytics group guides choices across product, commercial and operations teams using experiments and causal inference. This London vacancy is one of several senior data scientist openings in the group and is listed under product data science. Rather than tying a hire to one fixed team, the business reviews each candidate's skills and aspirations during interviews and then assigns the best-fitting scope. Data scientists come from many training backgrounds, including…
Job Description
Deliveroo's analytics group guides choices across product, commercial and operations teams using experiments and causal inference. This London vacancy is one of several senior data scientist openings in the group and is listed under product data science. Rather than tying a hire to one fixed team, the business reviews each candidate's skills and aspirations during interviews and then assigns the best-fitting scope.
Data scientists come from many training backgrounds, including formal data science degrees and self-taught routes. The community stays active through guest talks, study circles, mentoring schemes and rigorous peer review of technical work. Senior practitioners can advance along an expert track or a management track. The listing describes hybrid working with three office days each week.
The questions this group tackles include where to launch the next city, how to nudge riders toward good conduct, what exclusive restaurant contracts actually deliver, how pricing should differ by distance and region, which restaurant mix serves an area best, and how changes to the consumer app shape the experience for grocery shoppers. Many of these require weighing expansion against margin and recommending a clear course of action.
Candidates should bring substantial data science experience and a record of designing and leading experiments of varying difficulty. They need to unpack findings so leaders can act, and to explain results to audiences ranging from engineers to executives through speech, writing and code. Skill with ambiguous problems and in turning stakeholder needs into analytical questions matters. Working knowledge of R or Python, plus SQL, is required, while familiarity with Cursor and other AI tools is an advantage.
Responsibilities
- Turn commercial, operational and product requests into well-defined analytical questions
- Plan and interpret experiments, from simple split tests to more intricate study designs
- Produce recommendations that steer the team's agenda
- Address strategic topics such as market entry, rider incentives, pricing and restaurant mix
Requirements
- Substantial background in data science or closely related analytics work
- Proven leadership of experiments with varying levels of complexity
- Strong communication across audiences through talks, documents and code
- Problem-solving skill with messy, unclear challenges
- Working fluency in R or Python, plus SQL
- A pragmatic mindset that prioritises results
Qualifications
- Familiarity with Cursor and other AI tooling, which is an advantage but not mandatory
Core Skills
Benefits
- Competitive salary and equity options
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Where is the role based and what is the working pattern?
The posting places the role in London with hybrid working, including three office days each week.
Is the role tied to one team?
No. Several senior openings exist, and placement is decided after interviews.
Which tools are needed?
R or Python and SQL are required. Cursor and other AI tools are welcomed.
Is pay stated?
No figure appears in the posting. Competitive salary and equity are mentioned.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.