Centre of Excellence Lead — Data Science & Machine Learning

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.

Your

role​

• Lead and grow the CoE team​ of Data Scientists and ML Engineers — owning performance

management, coaching, hiring, and the development of each individual

• Set and raise technical standards​

across the team, from problem framing and methodology through to experimentation, productionisation, and impact measurement

• Stay hands-on​ as a player-coach — close enough to the technical work to guide design decisions, review

approaches, and help unblock the team

• Strengthen the DS↔ML handoff​, ensuring models move from prototype

to production reliably and that the two disciplines collaborate closely from the start of each initiative

• Partner

with Product and business leaders​ to identify high-impact opportunities where data science and ML can drive step-change

improvements, and translate them into a focused team roadmap

• Represent the CoE​ to Product, Engineering,

and leadership stakeholders, making the case for where and how advanced methods create the most value

• Partner

with the People team​ to define the capability framework for the data science and ML domain

• Champion the

responsible use of AI​ within the team's ways of working, advocating for best practices and integrating new tools where

they add genuine value

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

ownership

• Fluent in English, with excellent written and verbal communication skills

• We win together:​ Food waste is a big beast to fight. We believe in a #oneteam.
• We raise the

bar:​ We always push for more. We work smart, smash barriers and elevate one another.

• We keep it

simple:​ Our ambitions are bold but our solutions are simple.

• We build a legacy:​ We're proud of

the change we're driving.

• We care:​ We always look out for each other. Caring is also about the way we do

business. We do the right thing.

What we have to offer​

• An opportunity to work in a global

social-impact company and certified B Corporation, where you can see a real and tangible impact in your role.

• The chance

to build and lead a centralised data science and ML capability from an early stage, shaping how advanced methods drive decisions

across the company.

• Work-life balance is important to us! Focus on the job to be done, not the hours spent — there is no

need for overtime.

• We trust our employees and encourage an autonomous environment with several opportunities to

contribute, develop, and take ownership.

• To be part of an international company, with over 1,200+ colleagues across 20

countries on the same important mission.

• An informal environment, working alongside 170+ passionate people within Tech

& Product.

• We celebrate our differences and our successes and have a strong values-driven team culture.
• We

work in a hybrid set-up (4 days per week in our Copenhagen office) and value in-office work weekly.

• We may be able to

support you with a working visa in Copenhagen, please be prepared to discuss this topic further at your first-stage

interview.

How to apply​

• We take recruitment very seriously, so please carefully read everything we

have written above. Please also check our website and international media to get a good overview of Too Good To Go.

• Submit your CV in English.
• Please note that we only accept applications coming through our platform. No CV will be

accepted by email or LinkedIn direct messaging.

A Movement for Everyone

We want to inspire and empower

everyone to fight food waste together. With that mission, it’s only natural that we want to build a diverse and inclusive team of

highly capable individuals who are passionate about doing things in a better way. We strongly believe we all excel and are more

creative when we’re allowed to be ourselves, and we’re committed to a culture where all of us belong.

We are an equal opportunity employer and all employment is decided on the basis of qualifications,

merit and business need. If you need reasonable accommodation at any point in the application or interview process, please let us

know.