Internship Management Consulting - Data Science/Data Analytics (m/f/d)

About the role

BASF SE, headquartered in Ludwigshafen, offers an internship in its in-house consulting unit within the Management Consulting department. Starting in January 2027, interns join the team for 3 to 6 months and take part in preparing, coordinating and implementing consulting projects for BASF management, covering strategy, marketing, organizational design, business optimization and transformation. They also support the Data Analytics team by developing data-driven and AI-supported solutions.

Key responsibilities

• Take part in consulting projects for BASF management, gaining exposure to strategy, marketing, organizational design, business optimization and transformation.
• Support the Data Analytics team with data-driven and AI-supported solutions for consulting projects.
• Carry out sophisticated analyses and develop tools and applications that help consultants, using modern technologies and data-driven approaches.

Required profile

• Currently enrolled in an advanced degree program in Business, Data Science, Computer Science, Engineering or a comparable field.
• Ideally first relevant work experience in an international business consultancy, analytics or a similar environment.
• Structured and analytical way of working, combined with a hands-on mindset and curiosity for new technologies.
• Fluent English; German is a plus.

Required skills

• Knowledge of data management, data analysis and data science.
• Proficiency in Python programming.
• First experience with frontend frameworks such as Streamlit or similar.
• Experience with Large Language Models (LLMs) or initial exposure to AI-based applications.
• Knowledge of data visualization tools (e.g., Power BI, Dash) is a plus.

What we offer

• A practical phase applying theory in varied tasks and projects.
• A Teambuddy as contact person for questions and regular feedback.
• Networking with colleagues from different perspectives and fields of work.
• Internship compensation.
• Flexible working hours depending on location and area of work.