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Working Student Low-Code Development, M365, AI Agents & Conversational Bots(m/w/x)
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München
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SISiemens Digital Industries Software
Working Student - Low Code / AI for Manufacturing Industries(m/w/x)
München
Part-timeWorking StudentOn-site
AI/ML
Data Science
Nejo AI Summary
Developing proof-of-concept solutions combining Mendix Low Code with GenAI for manufacturing clients. Bachelor's/Master's enrollment in a technical field required. Flexible hours, mentorship, and work with cutting-edge AI technologies.
Requirements
- Proactive and analytical mindset
- Passion for technology
- Desire to learn
- Currently enrolled in Bachelor's/Master's program
- Computer Science, Business Informatics, Engineering, Data Science, or related field of study
- Strong interest in Low Code platforms
- Mendix experience (big plus)
- Interest in Artificial Intelligence
- Interest in Machine Learning
- Interest in Generative AI
- Eagerness to understand manufacturing industry
- Eagerness to contribute to manufacturing industry
- Enjoyment of working with data
- Analytical mindset
- Data analysis tools experience (ideal)
- Basic understanding of enterprise software (plus)
- Curiosity about enterprise software (plus)
- Good English communication skills (written)
- Good English communication skills (spoken)
- German language skills (plus)
- Self-starter
- Eagerness to learn
- Comfortable working independently
- Comfortable working as part of a team
- Willingness to apply even if experience doesn't align perfectly
Tasks
- Engage in research and ideation projects
- Explore low-code, cloud, AI, and agentic technologies
- Support development of proof-of-concept solutions
- Combine Low Code (Mendix) with GenAI
- Document reference architectures
- Ensure innovative approaches are well-structured
- Conduct competitive landscape research
- Identify business opportunities
- Analyze internal data (Salesforce, SAP)
- Use Power BI for data analysis
- Validate new growth areas
Education
- Currently in higher education
Languages
- English – Advanced
- German – is a plus
Tools & Technologies
- Low Code platforms
- Mendix
- Artificial Intelligence
- Machine Learning
- Generative AI
- Power BI
- Excel
- Python
- PLM
- ERP
- SAP
- CRM
- Salesforce
- Siemens Xcelerator portfolio
Benefits
Flexible Working
- Flexible working hours
Purpose-Driven Work
- Contribute to meaningful projects
Diverse Work
- Work with Low Code and AI technologies
Mentorship & Coaching
- Mentorship and learning
Startup Environment
- Dynamic environment
Career Advancement
- Networking opportunities
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Siemens Digital Industries Software and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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SISiemens Digital Industries Software
Working Student - Low Code / AI for Manufacturing Industries(m/w/x)
München
Part-timeWorking StudentOn-site
AI/ML
Data Science
Nejo AI Summary
Developing proof-of-concept solutions combining Mendix Low Code with GenAI for manufacturing clients. Bachelor's/Master's enrollment in a technical field required. Flexible hours, mentorship, and work with cutting-edge AI technologies.
Requirements
- Proactive and analytical mindset
- Passion for technology
- Desire to learn
- Currently enrolled in Bachelor's/Master's program
- Computer Science, Business Informatics, Engineering, Data Science, or related field of study
- Strong interest in Low Code platforms
- Mendix experience (big plus)
- Interest in Artificial Intelligence
- Interest in Machine Learning
- Interest in Generative AI
- Eagerness to understand manufacturing industry
- Eagerness to contribute to manufacturing industry
- Enjoyment of working with data
- Analytical mindset
- Data analysis tools experience (ideal)
- Basic understanding of enterprise software (plus)
- Curiosity about enterprise software (plus)
- Good English communication skills (written)
- Good English communication skills (spoken)
- German language skills (plus)
- Self-starter
- Eagerness to learn
- Comfortable working independently
- Comfortable working as part of a team
- Willingness to apply even if experience doesn't align perfectly
Tasks
- Engage in research and ideation projects
- Explore low-code, cloud, AI, and agentic technologies
- Support development of proof-of-concept solutions
- Combine Low Code (Mendix) with GenAI
- Document reference architectures
- Ensure innovative approaches are well-structured
- Conduct competitive landscape research
- Identify business opportunities
- Analyze internal data (Salesforce, SAP)
- Use Power BI for data analysis
- Validate new growth areas
Education
- Currently in higher education
Languages
- English – Advanced
- German – is a plus
Tools & Technologies
- Low Code platforms
- Mendix
- Artificial Intelligence
- Machine Learning
- Generative AI
- Power BI
- Excel
- Python
- PLM
- ERP
- SAP
- CRM
- Salesforce
- Siemens Xcelerator portfolio
Benefits
Flexible Working
- Flexible working hours
Purpose-Driven Work
- Contribute to meaningful projects
Diverse Work
- Work with Low Code and AI technologies
Mentorship & Coaching
- Mentorship and learning
Startup Environment
- Dynamic environment
Career Advancement
- Networking opportunities
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Siemens Digital Industries Software and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Siemens Digital Industries Software
Industry
Manufacturing
Description
Siemens Digital Industries Software builds the future by identifying and validating value-driving areas for enterprise customers in the manufacturing and engineering sector.
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