Working Student in Data Science

About

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:

• CONDUCT STATISTICAL ANALYSIS You'll use Python or R to analyse supply chain data and uncover actionable insights.
• VISUALIZE DATA You'll create compelling visualisations to communicate findings to stakeholders and support decision-making.
• SUPPORT ONGOING PROJECTS As a working student, you'll work with a motivated team to support ongoing supply chain efficiency projects.
• ENHANCE AUTOMATION You'll also help build and refine applications to automate repetitive tasks and increase productivity.
• COLLABORATE You'll work with cross-functional teams to integrate data science solutions into real-world supply chain scenarios.

Experience

Your areas of knowledge and expertise

that matter most for this role:

• Currently enrolled in a university program (Master’s preferred) in Data Science/AI, Computer Science, Statistics, Operations Research, or a related field
• Very good English skills, written and spoken
• First experience of programming in Python or R for data analysis and visualization, and SQL is a big plus
• Familiarity with statistical methods and their application to solve real-world problems
• Excellent analytical skills with the ability to interpret data and present results clearly
• Communicates effectively and thrives in a collaborative team environment
• Willingness to learn and proactively take on new challenges