Working Student – AI-Driven Procurement Optimization
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Job Description
Supporting procurement processes through AI analysis and implementation as a working student at CARIAD. Involvement in various projects focused on data and AI in a prominent automotive software company.
Responsibilities:
- Analyze the current data landscape within Procurement (e.g., contracts, sourcing events, suppliers, cost structures)
- Identify data quality issues, inconsistencies, and gaps
- Develop concepts for structured data preparation, harmonization, and standardization
- Derive requirements for data models and data structures to enable future AI use cases
- Support the definition of data governance and data quality standards
- Contribute to pilot projects leveraging AI in Procurement (e.g., automation, analytics, forecasting)
- Develop and implement AI agents using Microsoft Copilot
Requirements:
- Enrolled student in business informatics or a related field
- Initial experience with Microsoft Copilot or similar AI tools
- Experience in process analysis
- Interest in procurement
- English at C1 level and German at least B2 level (written and spoken)
Benefits:
- Remote work options within Germany
















