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Working Student- Low Code / AI for Manufacturing Industries(m/w/x)
Researching low-code and AI for manufacturing, developing proof-of-concepts with Mendix and generative AI. Analytical mindset and data analysis experience with Power BI required. Flexible working hours, health benefits.
Requirements
- Currently enrolled in Bachelor's/Master's in CS, Business Informatics, Engineering, Data Science, or related
- Strong interest in low-code platforms, AI, ML, generative AI
- Eagerness to understand manufacturing industry
- Analytical mindset, enjoyment of working with data
- Experience with data analysis tools (Power BI, Excel, Python)
- Good English communication skills (written and spoken)
- Proactive and independent mindset
- Desire to learn
- Ability to work independently and in a team
- Basic understanding of enterprise software (PLM, ERP, CRM)
- Previous experience with low-code development or AI/ML projects
- Familiarity with business process automation or manufacturing workflows
Tasks
- Engage in research and ideation for low-code, cloud, AI, and generative AI in manufacturing
- Support development of proof-of-concept solutions using Mendix and generative AI
- Document and share reference architectures and innovative approaches
- Conduct competitive landscape and business opportunity research
- Analyze internal data from Salesforce and SAP using Power BI
- Translate research findings into actionable business insights
- Collaborate with cross-functional teams
Education
- Currently in higher education
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Mendix
- Power BI
- Excel
- Python
- SAP
- Salesforce
Benefits
Flexible Working
- Flexible working hours
Healthcare & Fitness
- Health and wellness benefits
Mentorship & Coaching
- Mentorship and learning
Career Advancement
- Networking opportunities
Other Benefits
- Reasonable accommodation for individuals with disabilities
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Working Student- Low Code / AI for Manufacturing Industries(m/w/x)
Researching low-code and AI for manufacturing, developing proof-of-concepts with Mendix and generative AI. Analytical mindset and data analysis experience with Power BI required. Flexible working hours, health benefits.
Requirements
- Currently enrolled in Bachelor's/Master's in CS, Business Informatics, Engineering, Data Science, or related
- Strong interest in low-code platforms, AI, ML, generative AI
- Eagerness to understand manufacturing industry
- Analytical mindset, enjoyment of working with data
- Experience with data analysis tools (Power BI, Excel, Python)
- Good English communication skills (written and spoken)
- Proactive and independent mindset
- Desire to learn
- Ability to work independently and in a team
- Basic understanding of enterprise software (PLM, ERP, CRM)
- Previous experience with low-code development or AI/ML projects
- Familiarity with business process automation or manufacturing workflows
Tasks
- Engage in research and ideation for low-code, cloud, AI, and generative AI in manufacturing
- Support development of proof-of-concept solutions using Mendix and generative AI
- Document and share reference architectures and innovative approaches
- Conduct competitive landscape and business opportunity research
- Analyze internal data from Salesforce and SAP using Power BI
- Translate research findings into actionable business insights
- Collaborate with cross-functional teams
Education
- Currently in higher education
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Mendix
- Power BI
- Excel
- Python
- SAP
- Salesforce
Benefits
Flexible Working
- Flexible working hours
Healthcare & Fitness
- Health and wellness benefits
Mentorship & Coaching
- Mentorship and learning
Career Advancement
- Networking opportunities
Other Benefits
- Reasonable accommodation for individuals with disabilities
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
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.