Internship Data Science

Description

The company's Data Science team works on global projects that help business stakeholders in Sales, Marketing and HR make better data-driven decisions.

As an intern, you will gain hands-on experience while helping build and improve data and AI-driven solutions, analytical standards and automation.

You will work with your team on cross-functional projects and take independent ownership of specific work packages through to successful delivery.

The company is looking for an intern to start as soon as possible.

Responsibilities

• Analyse data in Python and turn it into actionable insights.
• Support ongoing sales and marketing projects alongside a motivated team.
• Create clear visualisations that communicate findings to stakeholders and support their decisions.
• Help build and refine applications that automate repetitive tasks and raise productivity.
• Look for ways to apply AI to improve productivity, from initial idea through to implementation.
• Carry out statistical analysis.

Requirements

• Currently enrolled in, or have completed, a university programme in Data Science, AI, Computer Science, Statistics or a related field.
• Very good written and spoken English.
• Experience programming in Python for data analysis and visualisation.
• Familiarity with statistical methods and how to apply them to real-world problems.
• Strong analytical skills, with the ability to interpret data and present results clearly.
• Ability to communicate effectively and to work well in a collaborative team.
• Willingness to learn and to take on new challenges on your own initiative.
• Proven ability to work independently on difficult problems.
• Nice to have: database experience, such as SQL or Snowflake.
• Nice to have: experience with AI, agents or similar tools.

Conditions

The minimum salary under the collective agreement for this position is € 2.221,00 gross per month, disclosed for legal reasons.

The company values diversity and welcomes applications from people of all ages, skin colours, religions, genders, sexual orientations and origins.