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Deliveroo

Senior Data Scientist

  • Hybrid
  • 6+ years

Salary

Not stated

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Description

Our Global Structure

Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team.

Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Data Science organisation sits at the heart of Deliveroo powering decision-making across our 3 sided marketplace.

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 drive high-quality decision-making to maximise impact.

We’re hiring multiple Senior Data Scientists across different areas of the business. Rather than hiring for one fixed team, we use the interview process to understand your strengths, interests and development areas, and then align you to the right scope, remit and team.

About Our Data Science Organisation

We have an outstanding Data Science organisation, with a mission to drive the highest quality decision-making across our marketplace. We work throughout the company, in product, operations, and platform teams and are uniquely placed to use data to help make better decisions and improve data literacy across Deliveroo. We are great communicators, and move fast to serve our customers a little better every day.

Our community is highly active, with guest lectures, study groups, mentorship programmes and a robust technical review process. Data Scientists can progress equally as IC leads or managers.

Our data scientists come from all kinds of backgrounds but have excellence in common. Many are formally trained in data science, many are not.

What You’ll Be Doing

Here’s what your day-to-day might look like:

Proactive Impact Delivery: You will independently identify, define, and deliver impactful work that aligns with business goals and metrics, operating with minimal guidance to provide high value to your team and the broader organisation. You will own delivery end-to-end, ensuring the delivery of fast, high-quality, solutions that meet business needs.

Navigating Ambiguity and Complexity: You will excel at deconstructing broad, ambiguous problem spaces into structured technical roadmaps, managing projects that require both deep team-specific rigour and an understanding of how they intersect with adjacent systems.

Strategic Technical Execution: Drive strategic decision-making by selecting the most effective tool or method for the task, maintaining a focus on high-quality execution and measurable results. You will act as a well-trusted strategic partner to stakeholders, using analytics, effective communication and domain expertise to influence roadmaps.

Experimentation and measurement: Design and lead measurement strategies that drive product direction, ranging from simple A/B tests to complex experimental designs. You will be equally capable of applying alternative causal inference techniques when standard trials aren't feasible, ensuring the business moves based on data driven insights.

Organisational Alignment : Actively contribute to the broader Analytics community, driving L+D initiatives and cross-functional collaboration. You will ensure we are delivering the "right" things org-wide by aligning technical work with overarching business strategy and shared best practices.

Requirements

  • Our ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others:
  • Significant experience in Data Science (or similar) roles.
  • A pragmatic and adaptable approach, with a strong focus on delivering impact efficiently at pace.
  • Excellent people skills — you'll be meeting with a range of both technical and non-technical stakeholders to translate business needs into data science problems
  • Experience leading both simple and more complex experiment designs, with the ability to proactively unpick insights to steer strategic decision making
  • Great communication skills - in person, in writing, in code; to technical and non-technical audiences.
  • Through solid analysis, provide clear and actionable recommendations that influence the team's roadmap.
  • Effective problem-solving, demonstrating an ability to successfully address complex and ambiguous challenges.
  • Ability to think creatively and insightfully about business problems
  • Proficiency with analytical tools like R/Python and familiarity with SQL. Proficiency with Cursor/AI tools to deliver impactful, high quality work efficiently is also valued

Benefits

  • At Deliveroo, you’ll do work that matters, solving real-world problems in a three-sided marketplace that’s constantly evolving.
  • We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to:
  • Solve meaningful problems at real scale
  • Work on a complex, always-on marketplace that impacts millions every day.
  • See your impact, fast
  • Ship, test and improve ideas quickly in a low-hierarchy, high-ownership
  • environment.
  • Grow through challenge and ownership
  • Take on big, ambiguous problems and accelerate your career with strong support.
  • A culture built for builders
  • High standards, collaboration, flexible working and continuous learning.
  • ​​ Share in the success you help create
  • Competitive salary and equity options, so you’re rewarded for the impact you
  • Make.
  • We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Find more about how we hire here .

Where you’d work

Part of the week in the office

You can work from

  • United Kingdom

About the company

Deliveroo

  • Industry: Logistics

Office in London, United Kingdom

Also hiring in Belgium, Milan, Italy, Paris, France and 2 more places

1 of their 65 open roles is remote

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 19 checks run
  • 2 red flags

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6 checks

2 red flags

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  • Must-haves
Details13 facts · Role, Location, Compensation, Company
Tech stack
  • Python
  • SQL
Seniority
Senior
Equity
Equity offered
Industry
Logistics
Specialty
Data Science
Region
United Kingdom
Show 7 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Science
Seniority
Senior
Experience
6+ years
Tech stack
  • Python
  • SQL

Location

Work model
Hybrid
Region
United Kingdom
Office
  • London, United Kingdom
Remote from
  • United Kingdom

Compensation

Salary
Salary by agreement
Pay period
Annual
Equity
Equity offered

Company

Industry
Logistics

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