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
What You'll Be Doing
Designing, building, and continuously improving the algorithmic, machine learning systems and decision-making processes that power forecasting at Deliveroo
Providing accurate forecasting models across Deliveroo domains and markets at the appropriate level of granularity and explainability
Collaborating with partners in the Finance & Strategy team and requiring strong collaboration and creative problem-solving skills
Improving how the business understands and measures performance in the past and building models to help improve strategy and financial planning in the future
Perks and Benefits
Healthcare, well-being, parental leave, pensions, and generous annual leave allowances
Opportunities to learn and grow in a fast-paced environment
Commitment to diversity, equity, and inclusion in all aspects of the hiring process