11 beste Stellen als data science work student in münchen – aktuell auf Personalsuche

Working Student (f/m/d) Private Equity & AI Innovation
Siemens —München
- Teilzeit
- Hybrides Arbeiten
- Informatik
- Master
Working Student Product Management (all genders)
Avelios Medical —München
- Teilzeit
- Flexible Arbeitszeiten
Working Student—Finance – Time & Billing (all genders)
Boston Consulting Group —München
- Teilzeit
Intern Software Development BMW Intelligent Personal Assistant (f/m/x)
BMW —München
- Vollzeit
- Informatik
- Master
- Elektrotechnik
- Flexible Arbeitszeiten
Working Student (m/f/d) Solution Engineering Industrial IoT
KINEXON —München
- Teilzeit
- Hybrides Arbeiten
- Master
- Bachelor
- Elektrotechnik
- Flexible Arbeitszeiten
Direkt bewerben
Ecosystem Engineer Working Student
Tulip Interfaces —München
- Flexible Arbeitszeiten
Direkt bewerben
12 Tage
Working Student - Embedded Software Engineer (F/M/D)
NavVis —München
- Informatik
- Elektrotechnik
- Flexible Arbeitszeiten
- Empfehlungsprogramm
Direkt bewerben
4 Tage
Associate Consultant – Financial Services & AI Transformations (all genders)
Wavestone Germany AG —München
- Vollzeit
- Projektmanagement
- Mit Reiseanteil
- Agile
- Weiterbildungsprogramme
Direkt bewerben
Dual master's degree with SIBE: Talent Management at Allianz SE (m/f/d)
Allianz —München
- Vollzeit
- Master
- Wirtschaft
- Führungserfahrung
- Reisekostenerstattung
5 Tage
Forward Deployed Engineer | German Speaking
carbmee GmbH —München
- Vollzeit
- Hybrides Arbeiten
- Informatik
Direkt bewerben
5 Tage
Intern (m/f/x) Sustainability Department
Allianz —München
- Teilzeit
- Wirtschaft
5 Std.

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Working Student (f/m/d) Private Equity & AI Innovation

Siemens -
München

Jetzt bewerben

Details zur Stelle

Teilzeit | Befristeter Vertrag

Qualifikationen

Informatik
Master
Data Science

Vollständige Stellenbeschreibung

Mode of Employment: Fixed Term / Part-Time; (15-20 hours / week)

Join our Private Equity Asset Management team in Munich as a Working Student (f/m/d) and help shape the future of investing—bring your passion for AI innovation to life by creating smart solutions that drive productivity, knowledge sharing, and impactful decision-making. Are you ready to champion AI and make a real difference in the world of private equity?

Connect, learn, and grow with our Working Student Network – your space to exchange ideas, build meaningful relationships, and navigate your Siemens journey.

You'll make an impact by

You support the Private Equity Asset Management team in the use of AI-based tools and applications and contribute to the optimization of day-to-day work processes
You research AI use cases and automation opportunities relevant to private markets and prepare information and findings for the team
Furthermore, you contribute to knowledge management by maintaining documentation, gathering best practices, and assisting in the creation of training materials on generative AI
To ensure continuous improvement, you monitor current developments and trends in AI and technology and summarize relevant insights for internal use
Throughout, you assist colleagues in the use of digital tools and contribute to the exchange of knowledge and experiences within the team

This is how you'll win us over

Education: You are currently enrolled in a Bachelor's or Master's program in Computer Science, Data Science, Business Informatics, Engineering, Economics, Finance, or a related field
Experience and Skills:
- You actively use AI tools such as Microsoft Copilot, ChatGPT, Claude, Gemini, or similar technologies
- You have experience with Microsoft 365, especially Copilot, Teams, Excel, PowerPoint, and SharePoint
- Prior exposure to Private Equity, Investment Banking, Corporate Finance, or Asset Management is beneficial
Ways of Working: You are a structured problem solver with strong analytical skills and enjoy working independently in a dynamic environment
Languages: You possess strong oral and written English skills

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.

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.

www.siemens.de/careers – wenn du mehr Informationen zu Jobs & Karriere bei Siemens erhalten möchtest.

FAQ – if you need further information on the application process.

If you have any further questions, please feel free to contact us: www.siemens.de/fragenzurbewerbung

#sagworkingstudent

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Erweiterte Suche

data science work student Jobs in münchen

Working Student (f/m/d) Private Equity & AI Innovation

Working Student Product Management (all genders)

Working Student—Finance – Time & Billing (all genders)

Intern Software Development BMW Intelligent Personal Assistant (f/m/x)

Working Student (m/f/d) Solution Engineering Industrial IoT

Ecosystem Engineer Working Student

Working Student - Embedded Software Engineer (F/M/D)

Associate Consultant – Financial Services & AI Transformations (all genders)

Dual master's degree with SIBE: Talent Management at Allianz SE (m/f/d)

Forward Deployed Engineer | German Speaking

Intern (m/f/x) Sustainability Department

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Ich möchte aktuelle Job-E-Mails für Stellen als data science work student in münchen erhalten

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