Internship - AI Transformation at M&A
Mode of Employment: Fixed Term / Full-Time (Part-Time possible)
Ready to shape the future of Siemens?
Join us as an Intern in AI Transformation at M&A at our Munich
Wittelsbacherplatz location and help one of the world’s leading M&A teams
work faster and smarter with AI agents—your ideas and drive will make a real
difference!
What we offer you
Exciting insights into real M&A processes and live cross-functional AI transformation projects
Challenging, hands-on tasks where you can build, test, and ship AI solutions that are actually used by the team
We’ll teach you the M&A processes and methodology along the way
Individual support and mentoring from experienced M&A colleagues
You'll make an impact by
- You help strengthen the M&A team’s AI knowledge and skills – delivering practical enablement, training, and knowledge transfer across the team- Building on this, you independently build, optimize, and test AI agents on platforms such as Microsoft Copilot Studio, including designing and fine-tuning specific AI prompts- You apply AI tools and data analytics to make sense of unstructured data (e.g., documents, reports) and turn it into usable, structured insights for the team- Additionally, you liaise with governance functions to obtain approvals and roll out AI tools – from testing to productive environment- To further strengthen the team’s efficiency, you contribute to concrete use cases that automate and optimize M&A processes (e.g., document analysis, reporting, research) and support department-specific topics as required- Throughout, you organize meetings, document results, and present them to internal stakeholders
This is how you'll win us over
Education : You are currently enrolled in a Bachelor’s or Master’s program in business informatics, data science, business administration, or a related field with a strong academic record- Experience and Skills :- You have solid hands-on experience with AI tools and know how to apply them effectively – ideally including first experience with Copilot Studio, the Power Platform, or building agents/chatbots- You bring strong data analytics skills and are comfortable working with unstructured data (e.g., documents, text) and turning it into structured insights using AI tools- You have a solid understanding of business fundamentals. Prior M&A, consulting, or investment experience is a plus- You have a genuine interest in transformation projects, digital solutions, and the intersection of technology and business
Ways of Working : You show strong self-drive and ownership, work independently and in a structured way, and are a proactive team player with excellent communication skills- Languages : You speak English and German fluently
You are much more than your qualifications, and we believe in the potential of every single candidate. We look forward to getting to know you!
At Siemens, we believe that feeling valued and included is the foundation for doing great work. That’s why we aim to create an inclusive workplace where everyone feels a sense of belonging, and where individual perspectives and experiences are celebrated. Our commitment to fairness and respect extends to every applicant.
As an equal opportunity employer , we welcome applications from individuals of all backgrounds and particularly encourage applications from persons with disabilities. In the case of equal qualifications, severely disabled applicants and applicants with equivalent status will be given preference.
About Us
The world never stands still. And new challenges arise every day. With a passion for questioning things, for supplying ideas, and intelligently driving things forward we are helping society move towards a smarter tomorrow. Be it with technologies that reduce carbon emissions in cities or hyperintelligent robots. This is how we are able, to tackle the most important projects and push them forward together. Help us shape the future.
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FAQ – if you need further information on the application process.
If you have any further questions, please feel free to contact us:
#sagintern
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