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Red Bull

Internship Data Science

Red Bull
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entry internship €2,221.00 gross per month Elsbethen, Salzburg

First indexed 10 Sept 2026

Description

As an intern in our Data Science team, you'll gain hands-on experience contributing to Global Data Science projects, enabling business stakeholders to make better data-driven decisions.

You'll support the development and implementation of data- and AI-driven solutions, assist in improving analytical standards and automation, and work on cross-functional projects with independent responsibility for specific work packages.

Responsibilities:

  • Conduct statistical analysis using Python to uncover actionable insights
  • Support ongoing sales and marketing projects
  • Create compelling visualisations to communicate findings to stakeholders
  • Enhance automation by building and refining applications to automate repetitive tasks and increase productivity

Requirements:

  • 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 with 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
  • Effective communication and collaboration in a team environment
  • Willingness to learn and proactively take on new challenges
  • Demonstrated ability to work independently on finding solutions to challenging problems

Benefits:

  • Minimum salary according to the collective agreement: €2,221.00 gross per month

Our organisation values diversity and welcomes applications from all members of society.

This listing is enriched and indexed by YubHub. To apply, use the employer's original posting: https://jobs.redbull.com/at-de/internship-data-science-ref33899u