REQUIREMENTS

• 3+ years’ experience as a ML Engineer or Data Scientist
• Ability to produce accurate forecasts across multiple business domains accounting for change in trends due to seasonality and other factors with focus on robustness and reusability
• Ability to produce simulations and what-if scenarios to assist with business cases and provide projections to support managerial decision making
• Strong foundation in fundamentals of machine learning
• Experience building intelligent decision-making machines from scratch in industry, designing and building MVPs that quickly get results
• Experience with end-to-end productionisation of the models
• Proficient in exploratory data analysis, model/algorithm selection, model pipeline development
• Ability to see the bigger picture and understand how your insights are aligned with the direction the business is heading in. You should also be proactive in gathering input from relevant stakeholders to enhance the accuracy and relevance of analysis you produce
• Ability to take a fuzzy business objective and turn it into a problem that can be solved via machine learning and optimisation
• Comfortable working in a fast-moving environment with changing requirements
• Experience creating strong relationships with a wide range of stakeholders including finance, operations and product counterparts
• Great communication skills - in person, in writing, in code; to technical and non-technical audiences

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.

In this role, you’ll be designing, building and continuously improving the algorithmic, machine learning systems and decision-making processes that power forecasting at Deliveroo. Our goal is to provide accurate forecasting models across Deliveroo domains and markets at the appropriate level of granularity and explainability. This work will help make informed strategic decisions and drive efficiency in financial planning, budgeting and staffing, which will result in a better experience for our riders, customers and partners.
Your focus on joining will be on how we use forecasting techniques to improve how we understand and measure business performance in the past and to build models that help us improve our strategy and financial planning in the future, as well as inputting into other forecasts. The role will involve working with partners in our Finance & Strategy team and require strong collaboration and creative problem-solving skills.
You are someone who knows the fundamentals of machine learning and/or operations research and knows when they should be applied, and ideally have experience with time series analysis or forecasting. You are a keen problem solver, able to think deeply about a business problem and devise a well-thought-out and pragmatic algorithmic solution. And you get satisfaction from working with non-technical stakeholders and seeing your algorithms shipped and driving measurable impact to the business.