Intern Data Science
Vor 3 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 DescriptionAs Data Science Intern you will be part of our AI & Data team at RB Digital. Combining business insights with the latest quantitative methods, we help our clients across all industries to solve problems in a data-driven way.
You will work as a full member of consulting project teams that focus on using data to solve real business problems. 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. In this role, you will be involved in both the technical side of working with AI & data and the business side of strategy consulting.
Join our AI & Data team in Munich, Dusseldorf, Frankfurt, Hamburg, Berlin or Stuttgart for a period of 4-6 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
- Practical experience in data analysis, machine learning, or applied statistics
- Strong Python skills for scientific computing
- 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)
- Strategic, entrepreneurial mindset and a collaborative spirit
- Excellent English. Germin 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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