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Support the analysis, design, development, and improvement of AI-driven and automated business processes, including identifying opportunities and evaluating innovative technologies
Contribute to implementing business use cases and prototypes with Microsoft Copilot, Power Automate, and Power Apps, including data preparation, quality checks, documentation, and basic analysis
Assist with research on Data Science, AI, and Process Automation, and support testing, validation, and optimization of AI models, workflows, and automation solutions
Collaborate in cross-functional projects, manage assigned tasks independently, and support internal communication and knowledge sharing on analytics, AI, and automation initiatives
Support user adoption and change management through demos, trainings, and guidance, ensuring all solutions meet governance, security, and compliance requirements
Requirements
Ongoing studies in (Business) Informatics, Computer Science, Data Science, or a comparable field
Strong enthusiasm for AI, AI Agents, Automation, and Digital Transformation, supported by initial academic or hands-on experience
Basic understanding of LLMs, generative AI, prompt engineering, and AI-assisted workflows
Initial experience with Microsoft Copilot, Power Platform (Power Automate, Power Apps), cloud-based AI services, or RPA/automation tools
Programming skills in Python, SQL, or R, ideally applied to data analysis, automation, or AI tasks, plus familiarity with REST APIs, data integration, or workflow orchestration
Confident use of MS Office
Strong written and spoken English
written and spoken German is beneficial
Team-oriented mindset combined with initiative, curiosity, motivation, and openness to new technologies
Strong problem-solving abilities, service- and solution-oriented thinking, and the ability to work independently and in a structured manner after onboarding