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Internship Data Science
Elsbethen, Austria

As an intern in our Data Science team, you'll gain hands-on experience in contributing to Global Data Science projects to enable business stakeholders from various departments (incl. Sales, Marketing, HR) to make better data-driven decisions. You'll support the development and implementation of data- and AI-driven solutions while assisting in the improvement of analytical standards and automation. Together with your team, you'll actively work on cross-functional projects, taking on independent responsibility for specific work packages and their successful execution.

We are looking for an intern to join us as soon as possible, bringing enthusiasm and a passion for data to support our team.

ResponsibilitiesAreas that play to your strengths

All the responsibilities we'll trust you with:

CONDUCT STATISTICAL ANALYSIS

You'll use Python to analyse data and uncover actionable insights.

SUPPORT ONGOING PROJECTS

As an intern, you'll work with a motivated team to support ongoing sales/marketing projects.

VISUALIZE DATA

You'll create compelling visualisations to communicate findings to stakeholders and support decision-making.

ENHANCE AUTOMATION

Additionally you'll also help build and refine applications to automate repetitive tasks and increase productivity. Further more, find ways to use AI for improving productivity - from idea to implementation.

Experience
Your areas of knowledge and expertiseThis matter most for this role:
  • 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
THE TEAM

Red Bull Internships

We're looking for top-performing, ambitious interns to work with some of the world's most innovative and exciting marketing, sales, and business specialists.

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JOIN THE TEAMGot what it takes?In your application we want to see your personal style - what makes you tick and why you think your next opportunity is here with us.
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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.
LocationWhere you'll be based

Red Bull Austria operates out of our office in Fuschl am See. Set on the shores of the crystal clear Fuschlsee and surrounded by mountains, the campus combines distinctive architecture with inspiring spaces for creativity, collaboration, and innovation.

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RELATED OPPORTUNITIESLooking for something else?
What drives usChasing our potential

Since the early days of Red Bull, an entrepreneurial mindset has always guided our approach to work and the environment we create

Meaning

Find your meaning, play to your strengths and create work, tools and experiences that make a meaningful difference.

Freedom & Responsibility

Take real responsibility for yourself and your work, with the freedom to think big, choose your approach and make meaningful things happen.

Mastery

Love life, love work and challenge yourself to turn your talents into strengths, sharpen your skills and keep raising the bar.

Red Bull CompanyGiving wiiings to people & ideas since 1987
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Jobs FAQ
How can I get a job at Red Bull?

Red Bull stands for individuality, authenticity and creativity. This is also what we expect from our employees. If you'd like to become part of Red Bull, bring your true and unique self to the application process.

How does the application process work?

Finding the right person for a role requires a thorough selection process. We may require a personality assessment, a video and/or in-person interview, an assignment or even a job simulation. The hiring team will share details of the process in advance.

Can I use Artificial Intelligence (AI) in the recruitment process?

Throughout your recruitment journey, you’ll come across moments where using AI could be an option. We encourage you to approach this with the same freedom & responsibility we offer our employees. Our recruitment process is all about getting to know you as an individual - what makes you unique, your strengths, your passions. You might use AI to polish your resume or prepare for interviews but remember nothing beats real human connection. When it comes to Red Bull Wingfinder or a video assessment, we want to see and hear your personality and feel the energy you bring. Likewise, think of a Case Study as more than just a task. It’s your chance to show us what you can really do, experience the role, and assess if it’s the right fit for you. By relying on AI, you risk missing the chance to truly stand out!

How long does it take to hear back from Red Bull?

Once you submit your application, you will receive an acknowledgement email. Afterwards you can expect to hear from us within two weeks.

What can I expect in a job interview?

During the interview process you will have the chance to gauge your talents and show your drive and motivation. The hiring team will ask you about your experiences, skills and strengths that are most relevant to the job in order to get a good picture of your profile and your unique selling points.

From the world of Red Bull
Internship Data Science
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