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Mandatory Internship Data-Analyser & Quality-Management Automotive

Bosch
Germania  Stuttgart, Germania
Stage, Industria, Inglese
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Descrizione del lavoro:

Job Description

Do you want to do more than just learn theory-do you want to actively shape processes and make real data speak? With us, you will transform numbers into strategic decisions and make a significant contribution to quality assurance in the automotive sector. If you are ready to apply your analytical talents in a dynamic environment and develop innovative AI solutions, then start your mandatory internship with us and set new standards.
* During your internship, you will analyze data from our Procurement Quality Management to identify potential opportunities and areas for optimization.
* Furthermore, you systematically tap into existing data sources and prepare them for further analysis.
* You independently develop customized analytical solutions, incorporating state-of-the-art AI technologies.
* Lastly, you visualize your findings clearly as well as present them to relevant stakeholders to enable data-driven decision-making

Requisiti del candidato:

Qualifications

* Education: studies in the field of Computer Science, IT, or comparable
* Experience and Knowledge: initial experience in data analysis; basic knowledge of quality management; interest in AI technologies; prior exposure to database systems and programming languages ​​such as Python or R is an advantage
* Personality and Working Practice: you successfully analyze complex datasets and derive precise insights from them; you work autonomously and actively contribute your ideas to develop innovative solutions
* Work Routine: office attendance required
* Enthusiasm: you demonstrate a high level of commitment to analyzing complex data and are passionate about applying AI methods to optimize processes
* Languages: business fluent in English

Provenienza: Web dell'azienda
Pubblicato il: 13 Mag 2026  (verificato il 14 Mag 2026)
Tipo di impiego: Stage
Settore: Elettronica di consumo
Lingue: Inglese
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