Data Science Student (Supply Chain)

TL;DR

Data Science Student (Supply Chain): Analyzing and enhancing supply chain efficiency using data-driven solutions with an accent on statistical analysis and automation. Focus on uncovering actionable insights from real-world data and building applications to automate repetitive tasks.

Location: Onsite in Elsbethen, Austria

Salary: € 2,221.00 gross per month

Company

Global energy drink company known for its high-performance products and expansive distribution network.

What you will do

• Conduct statistical analysis using Python or R to uncover actionable supply chain insights.
• Create compelling data visualizations to communicate findings and support stakeholder decision-making.
• Support ongoing supply chain efficiency projects as part of a motivated team.
• Build and refine applications to automate repetitive tasks and increase productivity.
• Collaborate with cross-functional teams to integrate data science solutions into real-world scenarios.

Requirements

• 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.
• Must be available to work onsite in Elsbethen, Austria.
• First experience programming in Python or R for data analysis and visualization.
• Knowledge of SQL and familiarity with statistical methods.
• Strong analytical skills and the ability to present results clearly.

Culture & Benefits

• Gain hands-on experience within a global company setting.
• Supportive environment that values diversity and encourages individual potential.
• Collaborative team culture focused on professional growth and seizing opportunities.
• Flexible working hours for students (20-25h/week).