

a digital native.
Intern GenAI Specialist (all genders)
All German offices
Our AI & Data team at RB Digital supports our clients from various industries along the entire data value chain. Now, we’re expanding our capabilities through the Roland Berger AI Lab - dedicated to developing scalable Generative AI applications that unlock tangible business value for our clients and for ourselves.
You will work alongside Consultants and Data Scientists, contributing from day one to both client-facing projects and internal AI initiatives. Your task is to design and implement scalable GenAI solutions that address complex business challenges while ensuring seamless integration into the client's existing processes and organizational structures. Utilizing tools like Databricks, Docker, MCP, LangGraph and Google ADK, you’ll play a key role in developing multimodal agentic systems in platforms such as Azure, AWS, or GCP.
Beyond the technical build, you will support the business side of C-level strategy consulting projects, focusing on topics centered around Generative AI. Clear communication is key, when presenting your findings to stakeholders, translating complex concepts into actionable insights.
Join our AI & Data team at RB Digital 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.
Our Offering
- Immediate exposure to client-facing GenAI engagements and internal IP development, guided by senior data scientists and partners in a truly international environment.
- A curated learning path covering advanced prompting, LLM evaluation, causal inference for language models, and responsible-AI frameworks.
Qualifikationen
- Current Master’s or PhD study in Artificial Intelligence, Data Science, Machine Learning, Statistics, Computer Science or a related field
- Hands-on experience with generative models, RAG architectures, prompt engineering or LLM evaluation techniques
- Strong Python skills for scientific computing; basic SQL for data exploration
- Ability to explain perplexity, bias, and model drift to non-technical audiences with clarity and confidence
- Strategic, entrepreneurial mindset and a collaborative spirit
- Excellent English. German is beneficial
Zusätzliche Informationen
Have we aroused your interest? 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 join.rolandberger.com. If you have any questions, please do not hesitate to contact Celina Benker (+49 01607445064
Celina Benker
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.
Data protection
Protecting your personal data and complying with relevant data protection legislation is something we take very seriously. Before applying, please consult our Privacy Policy for the Applicant Management Process at Roland Berger Group for detailed information on how we process your application and personal data as well as your rights under the relevant data protection legislation.
Technical support
In case of any technical issues or problems submitting your application please contact: Lara Zolnai (+49 89 9230-8457) or Dennis Reck (+49 89 9230-9127).