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Deliveroo

Senior Data Scientist (Economist)

London
Posted about 14 hours ago
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The Data & Science Org

At Deliveroo we have an outstanding data science organisation, with a mission to enable the highest quality human and machine decision-making. We work throughout the company - in product, business and platform teams - using analysis, experimentation, causal inference and machine learning techniques. We are uniquely placed to use data to help make better decisions and improve data literacy across Deliveroo.

Data Scientists at Deliveroo report into our data science management team, and we have a highly active data science community, with guest lecturers, study groups, mentorship programmes, a robust technical review process, and plenty of opportunities to learn new things. Data Scientists can equally progress as technical leads (individual contributors) and as people 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. We celebrate difference and have a dedicated data science diversity committee.

As an Economist at Deliveroo you will help scale our business and improve the experience for restaurants, riders, and eaters. Using experimental or observational data, you will get to help answer questions like:

  • Which markets/cities should we enter next?
  • How can we incentivise good rider behaviour?
  • What is the business impact of exclusive deals we have with restaurants?
  • Can the Delivery food market sustain multiple players?
  • What are the trade-offs we face when choosing between growth and profitability? How should we decide between them?
  • What is the optimum selection and variety of restaurants?
  • What impact do online reviews have?
  • How will a change in the user interface affect customer choice behaviour?

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

The work you will do will have a direct, measurable impact on the bottom line of the company.

Requirements:

  • Masters Degree or PhD in Economics or Econometrics (preferred)
  • Always curious and willing to learn new skills
  • A problem solver with a deep analytical mindset
  • Ability to think creatively and insightfully about business-relevant economic problems
  • A critical thinker with very strong attention to detail
  • Proficiency with analytical tools like R/Python and familiarity with SQL
  • Ideally industry experience since the completion of your academic career
  • Excellent people skills — you’ll be meeting with stakeholders to translate business needs into economic problems

At Deliveroo these are just some of the tough problems we are solving - and there is no challenge that cannot be yours. The scope for growth and personal impact is enormous.

Why Deliveroo

Our mission is to transform the way you shop and eat, bringing the neighbourhood to your door by connecting consumers, restaurants, shops and riders. We are transforming the way the world eats and shops by making access to food and products more convenient and enjoyable. We give people the opportunity to buy what they want, as they want it, when and where they want it.

We are a technology-driven company at the forefront of the most rapidly expanding industry in the world. We are still a small team, making a very large impact, looking to answer some of the most interesting questions out there. We move fast, value autonomy and ownership, and we are always looking for new ideas.

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Workplace & Benefits

At Deliveroo we know that people are the heart of the business and we prioritise their welfare. Benefits differ by country, but we offer many benefits in areas including healthcare, well-being, parental leave, pensions, and generous annual leave allowances, including time off to support a charitable cause of your choice. Benefits are country-specific, please ask your recruiter for more information.

Diversity

At Deliveroo, we believe a great workplace is one that represents the world we live in and how beautifully diverse it can be. That means we have no judgement when it comes to any one of the things that make you who you are - your gender, race, sexuality, religion or a secret aversion to coriander. All you need is a passion for (most) food and a desire to be part of one of the fastest-growing businesses in a rapidly growing industry.

We are committed to diversity, equity and inclusion in all aspects of our hiring process. We recognise that some candidates may require adjustments to apply for a position or fairly participate in the interview process. If you require any adjustments, please don't hesitate to let us know. We will make every effort to provide the necessary adjustments to ensure you have an equitable opportunity to succeed.

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Skills

Causal Inference
Machine Learning
Econometrics
R
Python
SQL
Experimental Design
Observational Data Analysis
Analytical Thinking
Stakeholder Management
Problem Solving
Critical Thinking

Location

London, England, United Kingdom

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