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Internship Data Science

Red Bull
Austria  Austria
Stage, Scienza/Ricerca, Inglese
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Descrizione del lavoro:

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.RESPONSIBILITIES

Areas that play to your strengths

All the responsibilities we'll trust you with:Expand all
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CONDUCT STATISTICAL ANALYSIS

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

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

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

that matter most for this role:

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Currently enrolled in or completed a university program in Data Science/AI, Computer Science, Statistics, or a related field
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Very good English skills, written and spoken
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Experience of programming in Python for data analysis and visualisation
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Database experience such as SQL or Snowflake, is a plus
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Experience with AI / Agents / etc, is a plus
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Familiarity with statistical methods and their application to solve real-world problems
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Excellent analytical skills with the ability to interpret data and present results clearly
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Communicates effectively and thrives in a collaborative team environment
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Willingness to learn and proactively take on new challenges
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Demonstrated ability to work independently on finding solutions to challenging problemsJOIN THE TEAM

Got 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

Provenienza: Web dell'azienda
Pubblicato il: 11 Set 2026 (verificato il 15 Set 2026)
Tipo di impiego: Stage
Settore: Agroalimentaria
Lingue: Inglese
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