Intern Data Science
Vor 4 Tagen
Roland Berger is one of the world's leading strategy consultancies with a wide-ranging service portfolio for all relevant industries and business functions. We cherish different perspectives and approaches and count on the diversity and authenticity of our employees. Driven by our values of entrepreneurship, excellence, and empathy, we at Roland Berger are convinced that business and society need a new sustainable paradigm that takes the entire value cycle into account. Our cross-competence teams work with our clients to successfully address the challenges of our time, today and tomorrow, across all industries and business functions. If you like to take the initiative and make a difference as part of a team, Roland Berger is the right place for you.
Job DescriptionOur AI & Data team at RB Digital supports our clients from various industries along the entire data value chain. Combining business insights with the latest quantitative methods, we help our clients to solve problems in a data-driven way.
You will work alongside Consultants and Data Scientists on exciting projects with a quantitative, and technical focus. Your task is to transform data, perform advanced analytics and develop machine learning models to create innovative solutions for our clients. You'll play a key role in creating value from data using state-of-the-art scientific methods and modeling techniques.
Join our AI & Data team at RB Digital in Munich, Dusseldorf, Frankfurt, Hamburg, Berlin or Stuttgart as an intern for at least 4 months or as a working student for 16-20 hours per week for at least 6 months.
We especially encourage women and individuals from underrepresented backgrounds to apply. We believe diverse perspectives drive innovation and better outcomes - for our clients, our team, and society.
Your tasks will be
- Develop client-facing solutions like machine learning models and KPI frameworks
- Support quantitative aspects of strategy consulting projects from market sizing and customer segmentation to pricing and optimization
- Support the design and implementation of end-to-end data pipelines, from raw data ingestion to analysis-ready formats
- Engage with cloud-based platforms and databases
- Currently enrolled in a quantitative or highly analytical degree, such as Economics, Mathematics, Data Science, Business Informatics or a related field
- Strategic, entrepreneurial mindset and a collaborative spirit
- Strong interest in data analysis, machine learning, and applied statistics
- Very good knowledge of at least one programming language for data modelling (preferably Python and SQL)
- Practical experience with database technologies and ETL processes
- Good understanding of data sources and data structures. Knowledge of cloud technologies (e.g., AWS, Azure, Google Cloud Platform) is an advantage
- First experience creating meaningful dashboards and visualizations (e.g., Power BI)
- Excellent English. German is beneficial
Are you interested?
We are looking forward to receiving your complete application documents (resume as well as academic testimonials and work references). For further details on the position, please visit If you have any questions, please do not hesitate to contact Katharina Ablaßmeier
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