As a working student in our Data Science team, you'll gain hands-on experience in analyzing and enhancing 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 in July 2025 for 20-25h/week bringing enthusiasm and a passion for data to support our team.
CONDUCT STATISTICAL ANALYSIS
You'll use R or Python 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.
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 € 2.165,00 gross per month.
Yearly based
Elsbethen, Salzburg, Austria