Data Science Student (Supply Chain)

Short Summary

Data Science Student (Supply Chain) with Red Bull. 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…

Key Details

• Position / opportunity: Data Science Student (Supply Chain)
• Organization: Red Bull
• Country / coverage: Austria
• Location: Elsbethen, Salzburg, Austria
• Work arrangement: On-site
• Opportunity type: Jobs
• Sector: Education
• Compensation: Not specified
• Duration: Not specified
• Start date: 2026-08-26
• Application deadline: Not specified

Description

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. 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 As an employer, we value diversity and support people in developing their potential and strengths, realizing their ideas and seizing opportunities. We believe passionately that employing a diverse workforce is central to our success. We welcome applications from all members of society irrespective of age, skin colour, religion, gender, sexual orientation or origin. Due to legal reasons, we are obliged to disclose the minimum salary according to the collective agreement for this position, which is € 2.221,00 gross per month.

Responsibilities

• 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.
• 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…

Requirements / Eligibility

• 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.

How To Apply

Use the Apply now button and follow the instructions on the application page.