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