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About the Role

Join our Courier Pay & Incentives team as a Data Scientist, where you will leverage advanced analytics and machine learning techniques to analyse driver performance data, design incentive programs, and develop predictive models to maximise earnings while maintaining cost-efficiency and ensuring timely deliveries. You will be part of an established team of data scientists, working closely with multiple cross-functional teams to build the next generation of algorithms that will scale our business. Your focus sits at the intersection of economics, real-time ML, and logistics operations, improving real-time courier incentive systems under strict latency and fairness constraints.

Responsibilities

Develop and validate ML models for courier compensation, including dynamic earnings floors, surge and boost mechanisms, and engagement-based incentive programs
Build features from operational data and design experiments to measure model performance improvements
Execute causal experimentation at scale, utilising A/B testing, switchback experiments, and geo-based designs to measure the true impact of pay changes and incentive structures
Apply engineering best practices including clean code, version control, unit testing, and production monitoring
Translate analytics outputs into clear, actionable insights for stakeholders using data visualisation and accessible language
Collaborate with ML Engineers and Operations Research Scientists on cross-functional projects
Identify opportunities to automate retraining, validation, and evaluation pipelines
Monitor and maintain predictive performance in live production environments

Requirements

Hands-on experience building and validating ML models in production, with an asset being prior exposure to real-time or low-latency systems
Proficiency in Python and SQL for data analysis and model development
Strong understanding of supervised ML techniques (regression, classification, gradient boosting) and time-series modeling
Solid conceptual grounding in experimental design, offline validation, and marketplace experimentation (such as switchback testing or interference-aware designs)
An interest or background in incentive design, dynamic pricing, or labor economics, allowing you to reason about behavioral responses and fairness trade-offs
Exposure to ML Ops practices including version control (Git), data pipelines, and model monitoring in production
Interest in logistics and real-world operational problems is a plus

Skills

Python
SQL
Supervised ML techniques (regression, classification, gradient boosting)
Time-series modeling
Experimental design
Offline validation
Marketplace experimentation (switchback testing, interference-aware designs)
Incentive design
Dynamic pricing
Labor economics
ML Ops practices
Version control (Git)
Data pipelines
Model monitoring

Location

Berlin

Work Type

Hybrid
3 days a week from our office & 2 days working from home

Experience Level

Data Scientist

About the Company

We're a leading global online delivery platform, and our vision is to empower everyday convenience. Whether it's a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe.
Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment.
Being the best at what we do isn't just about delivering on our strategy. It's a competition for something incredibly valuable – our customers' choice.
At the heart of the JET Customer League are our values and behaviours. They guide every interaction, every decision, every innovation.
These are the actions we need to perform consistently and brilliantly, to surpass the competition and earn our customers' loyalty, again and again.
Fun, fast-paced and supportive, the JET culture is about movement, growth, helping one another to succeed and celebrating wins.
By truly living our values and embodying our behaviours, we're building a customer-first culture which enables us to stay one step ahead of the competition.
With over 60 million active users across 24 countries, here at Just Eat Takeaway.com we’re a global food tech company, connecting our customers from Amsterdam to Auckland with the food they love.

Equal Opportunity

No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat Takeaway.com. We're committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day.