Senior Data Scientist

Deliveroo
London, England
11 months ago
Applications closed

Related Jobs

View all jobs
Spotlight

Machine Learning Engineer - National Security (Gloucestershire)

Mind Foundry Gloucester, Gloucestershire, United Kingdom
On-site Clearance Required
Spotlight

Senior ML Compiler Engineer

Fractile Bristol, United Kingdom

Senior Data Scientist

Faculty AI London, United Kingdom
Remote Clearance Required

Senior Data Scientist

PhysicsX United Kingdom

Senior Data Scientist

Adria Solutions Manchester, United Kingdom
Permanent

Senior Data Scientist (Signal Processing)

Cure Talent Hathern, Leicestershire, LE12 5LA, United Kingdom
£65,000 – £75,000 pa On-site

Senior Data Scientist - UK

Infused Solutions United Kingdom
£60,000 – £70,000 pa Remote

Senior Data Scientist - Single Cell & Spatial

Relation Therapeutics London, United Kingdom
On-site
Posted
18 Jun 2025 (11 months ago)

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 a data scientist at Deliveroo, your main goal is to maximise business impact within one of many business areas. You will help answer questions like:

  • Which markets/cities should we enter next?

  • How can we incentivise good rider behaviour?

  • What is the impact of exclusive deals we have with restaurants?

  • How do we optimise our compensation policy to keep our customers happy and ordering with Deliveroo?

  • What are the trade-offs we face when choosing between growth and profitability? How should we decide between them?

  • How much should our pricing vary by distance and by market?

  • What is the optimum selection and variety of restaurants in a particular area?

  • How do we adapt our consumer app to better suit grocery shoppers?

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

Requirements:

  • 6+ years experience in Data Science (or similar) roles.

  • Great communication skills - in person, in writing, in code; to technical and non-technical audiences

  • A problem solver with a deep analytical mindset

  • Ability to think creatively and insightfully about business problems

  • A critical thinker with very strong attention to detail

  • Proficiency with analytical tools like R/Python and familiarity with SQL

  • A pragmatic, flexible approach, where you most care about achieving impact

  • Excellent people skills — you'll be meeting with stakeholders to translate business needs into data science 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.

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.


#J-18808-Ljbffr

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Machine Learning Jobs UK 2026: What to Expect Over the Next 3 Years

Machine learning has undergone a transformation that few technology disciplines can match. In the space of three years it has moved from a specialism sitting at the edges of most organisations' technology strategies to a capability that sits at the centre of them. The tools have changed, the expectations have shifted, and the range of industries treating machine learning as a core business function — rather than an experimental one — has expanded dramatically. For job seekers, this creates both opportunity and complexity in roughly equal measure. The machine learning jobs market of 2026 is significantly larger than it was three years ago, but it is also significantly more demanding. Employers have developed more sophisticated expectations, the technical bar for specialist roles has risen, and the landscape of tools, frameworks, and architectural patterns that practitioners are expected to know has broadened considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what machine learning engineers and researchers are expected to build, and how the definition of a machine learning career is evolving beyond the model-building core toward a much wider range of roles across the full ML lifecycle. This article breaks down what the UK machine learning jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.