Data Science Student (Supply Chain), Elsbethen

Do you study DS/AI/ML and want to give it a go in a global company setting? Love solving puzzles and grinding through real-world data? As a working student in our Data Science team, you'll gain hands-on experience in analyzing and enhancing Red Bull’s supply chain efficiency. You'll support the development and implementation of data-driven solutions while assisting in the documentation and improvement of analytical standards. Together with your team, you'll actively contribute to cross-functional projects, taking on independent responsibility for specific work packages and their successful execution.

We are looking for a motivated student to join us onsite in Elsbethen in June 2026 for 20-25h/week, bringing enthusiasm and a passion for data to support our team.

RESPONSIBILITIES

Areas that play to your strengths

All the responsibilities we'll trust you with:

You'll use Python or R to analyse supply chain data and uncover actionable insights.

You'll create compelling visualisations to communicate findings to stakeholders and support decision-making.

As a working student, you'll work with a motivated team to support ongoing supply chain efficiency projects.

You'll also help build and refine applications to automate repetitive tasks and increase productivity.

You'll work with cross-functional teams to integrate data science solutions into real-world supply chain scenarios.

Currently enrolled in a university program (Master’s preferred) in Data Science/AI, Computer Science, Statistics, Operations Research, or a related fieldVery good English skills, written and spokenFirst experience of programming in Python or R for data analysis and visualization, and SQL is a big plusFamiliarity with statistical methods and their application to solve real-world problemsExcellent analytical skills with the ability to interpret data and present results clearlyCommunicates effectively and thrives in a collaborative team environmentWillingness to learn and proactively take on new challenges

Data Science Student (Supply Chain)

Red Bull

Giving wiiings to people and ideas since 1987

In the 1980s Dietrich Mateschitz developed a formula known as the Red Bull Energy Drink. This was not only the launch of a completely new product, in fact it was the birth of a totally new product category.

What drives usChasing our potential

Since the early days of Red Bull, an entrepreneurial mindset has always guided our approach to work and the environment we create: