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The Data + Science Team

At Deliveroo we have a world-class data & science organisation, with a mission to enable the highest quality human and machine decision-making. We have over 200 Machine Learning Engineers, Data Scientists, Data Analysts, and Analytics Engineers working throughout the company in product, business and platform teams.

We have a strong, active data science community, with guest lecturers; a robust technical review process; a career progression framework; and plenty of opportunities to learn new things.

The Role

You will develop the algorithmic and machine-learning systems that power Deliveroo’s delivery network. You will work in a cross-functional team alongside engineers, data scientists and product managers to develop systems that make automated decisions at massive scale. The team has independence and works on some of the most interesting problems at the intersection of riders, consumers, and restaurants. We evaluate the performance of all our decision-making machines through our world-class experimentation platform.

You will build intelligent decision-making machines that may:

Optimise our delivery network by making rider assignment decisions; predicting how long a leg of the delivery journey will take; or mitigating real-time delays.

Enhance our simulation capabilities to more accurately predict the effects of algorithmic changes on our delivery network.

Optimise consumer and rider fees.

Also, you will be working alongside people who work on

The consumer experience by showing the most relevant restaurants and dishes.

Detecting fraud and abuse from consumers, riders, and restaurants.

Assisting restaurants in optimising their presence on Deliveroo, for example by recommending that they improve their menus or photography, or add a popular dish.

Creating an ML platform to improve our ML and optimisation capabilities.

You will report into a ML/OR Manager. This is a hybrid role that will be based in London.

Requirements

3+ years' experience as a ML Engineer or Data Scientist

You are someone who knows the fundamentals of machine learning and operational research and when they should be applied through a relevant PhD or a relevant work experience.

You can translate fuzzy logistics and delivery problems or objectives into a well-thought-out algorithmic solution. You get satisfaction from seeing your algorithms shipped and driving measurable impact to the business.

Experience in programming, where the work involves programming with Python, Rust and Go.

Experience in discrete event simulations and/or combinatorial optimisation problems.

Understand end-to-end model productionisation.

A bias to simplicity, where you care most about achieving impact.

The Company

Our mission is to be the definitive food company. We are transforming the way the world eats by making food more convenient and accessible. 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.

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

A competitive and comprehensive compensation and benefits package

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Compensation

• We aim to pay every employee competitively for the role they are performing in their respective location
• Depending on role and location, some employees may be eligible for an annual cash bonus, sign-on bonus or relocation support
• Up to 5% matched pension contributions

Equity

• Some roles may be eligible for share awards, giving them ownership in Deliveroo and a share in our success

Food

• Free Deliveroo Plus: free delivery and access to special offers
• Team lunches from the best local restaurants

Time away

• 25 days annual leave plus bank holidays, increasing with length of time spent working at Deliveroo
• One day of paid leave per year to volunteer with a registered charity

• Funded single cover healthcare on our core plan, with the option to add family members at own cost
• On-site gym (HQ), discounted external gym membership
• Access to wellbeing apps such as LesMills+, Strava, Headspace, Yogaia via GymPass
• Discounted dental insurance and a range of other flexible benefits, such as critical illness cover, partner life cover, travel insurance, health assessments
• Life assurance

Work Life

• Maternity, paternity and maternity and shared parental leave, eligible from day one of employment
• Excellent kit to enable working from home and a parent-friendly working culture
• Access to free mortgage advice
• Cycle to Work Scheme or Season Ticket Loans, depending how you wish to travel
• Excellent learning and development opportunities and access to RooLearn, our learning platform, packed with high-quality training and content
• Regular Employee Resource Group (ERG) led social events – examples include dinners, dance lessons and in-office yoga sessions