5 days ago

Internship Data Science

Red Bull

On Site
Intern
€26,652
Elsbethen, Salzburg, Austria

Job Overview

Job TitleInternship Data Science
Job TypeIntern
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary€26,652
LocationElsbethen, Salzburg, Austria

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Job Description

Internship Data Science at Red Bull

As an intern in our Data Science team, you'll gain hands-on experience by contributing to Global Data Science projects. This role enables business stakeholders from various departments, including Sales, Marketing, and HR, to make better data-driven decisions. You'll support the development and implementation of data-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

  • Conduct Statistical Analysis: You'll use Python to analyze data and uncover actionable insights.
  • Support Ongoing Projects: As an intern, you'll work with a motivated team to support ongoing sales and marketing projects.
  • Visualize Data: You'll create compelling visualizations to communicate findings to stakeholders and support decision-making.
  • Enhance Automation: Additionally, you'll help build and refine applications to automate repetitive tasks and increase productivity.

Your Expertise

  • 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 visualization.
  • Database experience such as SQL or Snowflake 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.

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 color, 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.

Key skills/competency

  • Data Analysis
  • Python Programming
  • Statistical Methods
  • Data Visualization
  • SQL
  • Snowflake
  • Problem Solving
  • Automation
  • Communication
  • Business Intelligence

Tags:

Data Science Intern
data analysis
statistical analysis
data visualization
automation
project support
problem solving
business intelligence
insights generation
data modeling
Python
SQL
Snowflake
machine learning
AI
databases
scripting
software development
data engineering
BI tools

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How to Get Hired at Red Bull

  • Research Red Bull's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor to align your application.
  • Tailor your resume: Customize your resume to highlight Python, SQL, data analysis, and visualization skills directly relevant to Red Bull's Data Science Internship.
  • Showcase project work: Prepare a portfolio or case studies demonstrating practical application of data science concepts and tools.
  • Master technical skills: Practice Python programming, statistical methods, and database querying (SQL/Snowflake) to excel in Red Bull's technical assessments.
  • Prepare for behavioral questions: Focus on collaboration, problem-solving, and proactive learning, aligning with Red Bull's dynamic work environment.

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