
Opportunity at
DeliverooSenior Data Scientist
This London senior data scientist job follows a hybrid pattern of three days in the office. It belongs to Deliveroo's Data Science organisation, which guides decisions…
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About This Role
This London senior data scientist job follows a hybrid pattern of three days in the office. It belongs to Deliveroo's Data Science organisation, which guides decisions across the three-sided marketplace linking customers, restaurants and riders. Work happens across product, operations and platform teams, with the aim of making the company better at evidence-based choices and at reading its own data. Several senior data scientist vacancies are open across the business.…
Job Description
This London senior data scientist job follows a hybrid pattern of three days in the office. It belongs to Deliveroo's Data Science organisation, which guides decisions across the three-sided marketplace linking customers, restaurants and riders. Work happens across product, operations and platform teams, with the aim of making the company better at evidence-based choices and at reading its own data.
Several senior data scientist vacancies are open across the business. Instead of hiring for one set team, interviewers learn about each candidate's abilities, preferences and growth areas before matching them with a remit and squad.
Day to day, the data scientist spots and defines high-value questions tied to strategic goals and metrics, then delivers quality results with limited supervision. Vague problem spaces are structured into technical plans that sometimes cut across neighbouring systems. The person picks the most suitable technique for each job, plans measurement programmes from simple split tests to intricate designs, and applies causal inference when standard trials cannot be run. Contributions to the analytics community and to organisation-wide priorities are also expected.
Ideal candidates bring meaningful data science experience and a pragmatic approach centred on impact. They translate business questions into analytical problems, lead experiments of varied complexity, and communicate clearly through presentations, written documents and code. Working knowledge of R or Python and SQL is required, while experience with Cursor or other AI tools is a bonus. The company typically runs three or four interview stages.
Responsibilities
- Spot and deliver high-value work tied to business goals and metrics
- Own deliverables from start to finish, emphasising speed and rigour
- Turn broad, unclear problems into structured technical plans
- Select suitable tools and methods for each task
- Design measurement programmes, including A/B tests and causal methods where needed
- Support the analytics community and cross-team learning
Requirements
- Meaningful experience in data science or adjacent roles
- A pragmatic focus on pace and practical impact
- A track record leading experiments of varying difficulty
- Clear communication across technical and non-technical audiences
- Effective problem-solving with complex, uncertain challenges
- Working proficiency in R or Python and SQL
Qualifications
- Experience with Cursor or other AI tools, which is valued
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, three days a week in the office.
Is this a role on one fixed team?
No. Several openings exist, and each hire is assigned a team after the interview process.
Which skills are required?
Data science experience and working knowledge of R or Python and SQL are needed. Experience with Cursor or other AI tools is valued.
Is pay stated?
No figure is given. The posting refers to competitive salary and equity options.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.