Internship Data Science

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-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:

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• 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.

EXPERIENCE

Your areas of knowledge and expertise

that 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
• 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