Introduction

Ready for a challenge?

Then Just Eat Takeaway.com might be the place for you. 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.

Your tasks

About this role

As a Data Scientist on the Estimations team, you will be a developing professional focused on building skills and expertise to support the predictive engine that powers our global delivery network.

Your mission is to apply practical knowledge to build, validate, and maintain machine learning models that predict Estimated Time of Arrivals (ETAs). Specifically, you will consider how various processes such as finding a courier, drive times, and preparation times, as well as operational aspects like courier rejections and delays impact the predictions.

You will work independently with general supervision to plan your own work, while actively seeking guidance from Senior Data Scientists and engineers to solve real-time logistics challenges. You will transform stakeholder needs into actionable methodologies, ensuring our predictions are accurate and reliable.

These are some of the key components to the position:

• Model Development & Assessment: Lead well-defined assignments to develop and maintain machine learning models (e.g., regression, classification, clustering). You will run predictive analyses and perform model assessments, validation, and enhancement activities to improve ETA accuracy.
• Data Analysis & Engineering: Utilise SQL and Python to acquire, transform, and clean large-scale data sets. You will apply appropriate techniques to handle outliers and missing values, creating data structures relevant to logistics problems with limited guidance.
• Production Standards: Apply basic engineering practices to your work, including writing intermediate-level source code, writing unit tests, and using version control. You will be mindful of production environment rules and assist in monitoring the predictive performance of models.
• Process Improvement: Identify potential opportunities to automate or improve existing processes and analysis. You will recommend solutions based on established best practices to ensure our estimation systems run smoothly.
• Actionable Insights: Translate analytics output into clear, actionable insights that support decision-making. You will assist in presenting these insights to stakeholders in easy-to-understand language, utilizing data visualization tools where appropriate.

What will you bring to the team?

• Experience: 2 to 3 years of professional experience in Data Science or a related field.
• Machine Learning: Familiarity with statistical and machine learning techniques (classification, regression, clustering, decision trees). You understand which requirements determine the best technique for a problem.
• Programming: Intermediate-to-advanced proficiency in Python (e.g., pandas, scikit-learn) and SQL. You can write queries to retrieve and transform large data sets and are familiar with industry style guides.
• Data Handling: Ability to perform data cleaning (de-duplication, standardization) and exploratory data analysis. You are familiar with data security, compliance, and quality assessment.
• Engineering Basics: Familiarity with version control (Git), testing, and basic data pipelines.

We offer

Berlin, 10997, Germany
2026-01-30

Takeaway

40

Please note this is a maternity cover - 9 months contract

At JET, this is how we play

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. Every time a customer decides where to order, they're picking a side.

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.

Inclusion, Diversity & Belonging

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.

What else are we delivering?

Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET journeys