At Too Good To Go, we have an ambitious goal: to inspire and empower everyone to fight food waste together. 40% of all food produced in the world is wasted. And that has a huge impact on the health of our planet, with 10% of greenhouse gas emissions coming from food waste.

We're more than an app: we are a certified B Corporation with a mission to empower everyone to take action against food waste, so alongside our marketplace app, we create educational tools, explore new business solutions — such as our Retail Technologies offering — and influence legislation to help reduce food waste. We're growing fast: Our community of 120 million registered users and 180,000 active partners across 20 countries have together already prevented 500+ million meals from going to waste Your mission We are looking for a Centre of Excellence Lead to build and grow the data science and machine learning capability at the heart of our Data and Analytics organisation. The Centre of Excellence (CoE) brings together our Data Scientists and ML Engineers into a single, centralised team that partners with Product and business domains to solve our most important problems.

As its Lead, you will own the team's technical direction, raise the bar on delivery and standards, and develop the people in it while staying close enough to the work to coach hands-on. As a marketplace, many of our most critical challenges revolve around supply-demand dynamics, user behaviour, and marketplace efficiency . Your team works on problems such as personalisation, pricing, optimisation, and forecasting , helping us move from reactive analysis to proactive, model-driven systems.

Requirements

Solid experience leading technical teams of a similar size (around 5 people), including performance management and developing engineers or scientists A strong technical foundation in data science or machine learning — you have done the technical work yourself and can credibly coach it Comfortable across both disciplines : you don't need to have managed both Data Scientists and ML Engineers, but you should have enough fluency in each to set direction and earn the team's trust Track record of delivering ML or DS work that reached production and created measurable business or product impact Strong grounding in experimentation (A/B testing), measurement, and impact evaluation Experience with applied problems such as personalisation/recommendation, optimisation, pricing, or forecasting A pragmatic, current view on AI its maturity, where it adds value, and how to integrate it responsibly into a team's workflow Strong stakeholder and communication skills — able to influence Product, Engineering, and business leaders Comfort operating in a fast-paced, evolving environment with a high degree of ownersh

Centre of Excellence Lead — Data Science & Machine Learning