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Working student- low code/ai for manufacturing industries- rq0042470

München
Studentenjob
Siemens
Industrie
Inserat online seit: 26 Mai
Beschreibung

Aufgaben: Innovate & Research: Engage in research and ideation projects, exploring the potential of low-code, cloud, AI, GenAI, and agentic technologies, specifically tailored for manufacturing domains. Build Proof of Concepts: Actively support the development of proof-of-concept solutions, combining the power of Low Code (Mendix) with GenAI. Document & Share: Help document reference architectures, ensuring our innovative approaches are well-structured and easily understood. Market & Business Insights: Conduct research into competitive landscapes and business opportunities, helping us stay ahead of the curve. Data-Driven Analysis: Analyze our internal data (e.g., pipeline data in Salesforce, SAP data) to inform our business decisions. You'll use tools like Power BI to make sense of this information and validate new growth areas. Pay Transparency Non-Discrimination Provision Qualifikation: Are you a curious and driven student passionate about the intersection of cutting-edge technology and industrial innovation? Do you thrive on exploring how Low Code platforms and Artificial Intelligence can revolutionize manufacturing? If so, we have an exciting opportunity for you to join our dynamic team at Siemens. We're looking for a proactive and analytical mind with a passion for technology and a desire to learn. Current Student: You are currently enrolled in a Bachelor's or Master's program in Computer Science, Business Informatics, Engineering, Data Science, or a related field. Tech Enthusiasm: A strong interest in Low Code platforms (Mendix experience is a big plus!), Artificial Intelligence, Machine Learning, and Generative AI. Manufacturing Interest: An eagerness to understand and contribute to the manufacturing industry. Analytical Skills: You enjoy working with data, have an analytical mindset, and ideally, some experience with data analysis tools (e.g., Power BI, Excel, Python for data analysis). Software Familiarity (a plus): Basic understanding or curiosity about enterprise software like PLM, ERP (SAP), CRM (Salesforce), or other Siemens Xcelerator portfolio tools. Communication Skills: Good communication skills in English (written and spoken); German is a plus. Proactive & Independent: You are a self-starter, eager to learn, and comfortable working independently as well as part of a team. Wir bieten: Real-World Impact: Contribute to meaningful projects that shape the future of manufacturing. Cutting-Edge Technology: Work with the latest Low Code and AI technologies in an industrial context. Mentorship & Learning: Gain invaluable experience and learn from experienced professionals in a global technology leader. Flexible Working: We understand the demands of student life and offer flexible working hours to accommodate your studies. Dynamic Environment: Become part of an innovative and collaborative team culture. Networking Opportunities: Build a professional network within Siemens and the industry. Über Uns: At Siemens Digital Industries Software, we're not just imagining the future; we're building it. We're looking for a motivated Working Student to help us identify and validate areas that drive value for our enterprise customers in the manufacturing and engineering sector. Our mission is to pinpoint growth areas where modern software development technologies - with a strong focus on Mendix Low Code and advanced AI/GenAI capabilities - can seamlessly integrate with domain-specific software

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