Data Science Internship: Hands-On AI & Analytics Experience

Red Bull GmbH; Elsbethen; Vor Ort; EUR 23.000 - 27.000; Vollzeit

Zusammenfassung

Red Bull GmbH in Elsbethen, Austria, offers an Internship in Data Science to gain hands-on experience on global projects and contribute to data- and AI-driven solutions. You will work cross-functionally to support stakeholders from Sales, Marketing, and HR and take ownership of specific work packages.

You will use Python for data analysis, create visualisations, and help automate tasks. The role requires a proactive, independent mindset and strong English skills.

Qualifikationen

• Currently enrolled in or completed a university program in Data Science/AI, Computer Science, Statistics, or a related field
• Very good English skills, written and spoken
• Experience of programming in Python for data analysis and visualisation
• Database experience such as SQL or Snowflake, is a plus
• Experience with AI / Agents / etc, is a 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
• Demonstrated ability to work independently on finding solutions to challenging problems

Aufgaben

• Conduct statistical analysis using Python to analyse data and derive insights
• Create data visualisations to communicate findings to stakeholders
• Support ongoing sales/marketing projects within cross-functional teams
• Enhance automation and find ways to apply AI to improve productivity

Kenntnisse

Python

SQL

Snowflake

AI

Tools

Pandas

Matplotlib

Jobbeschreibung

Red Bull GmbH in Elsbethen, Austria, offers an Internship in Data Science to gain hands-on experience on global projects and contribute to data- and AI-driven solutions. You will work cross-functionally to support stakeholders from Sales, Marketing, and HR and take ownership of specific work packages.

You will use Python for data analysis, create visualisations, and help automate tasks. The role requires a proactive, independent mindset and strong English skills.