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# Working Student Engineering Data Analytics Classification

- **Company:** BSH GmbH & Co. KG
- **Location:** München, Germany
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Business Analytics Applications, Data Analysis, Big Data, Information Systems, Data Governance, Machine Learning, Power BI, Information Technology, Data Analytics, Data Management
- **Published:** July 3, 2026
- **Apply:** https://www.xing.com/jobs/muenchen-working-student-engineering-data-analytics-classification-155818275

## About the Role

* Pursuing a degree in Engineering Industrial Engineering Information Systems Computer Science Data Science AI or a related field
 * Strong analytical and structured thinking skills to effectively understand and interpret technical component information
 * Interest in working with large data sets and using analytical tools like PowerBI to identify structures and relationships
 * Theoretical and ideally practical knowledge in the fields of machine learning AI and data analytics
 * Excellent written and spoken skills in both German and English

## Description

Are you well-versed in theory and now looking for practical experience in a dynamic company? Then use your talent and expertise to help us with the following tasks

 * Analyze company's engineering component portfolio, using data from enterprise systems, to identify classification patterns
 * Develop a scalable, company-wide classification by leveraging engineering data analysis, AI tools and industry standards
 * Prepare analysis, reports, recommendations, and documentation to support data standardization and governance initiatives
 * Collaborate with master data stakeholders to capture domain-specific needs and incorporate expert knowledge into the analysis, * Attractive employer benefits and compensation (grouping according to collective agreement of IG Metall)
 * Flexible organization of working hours by means of time account
 * Possibility of mobile working according to individual agreement (max. 50 % of working hours)
 * Working in an inspiring team with a hands-on mentality
 * Cooperation at eye level and appreciative working atmosphere


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