Tätigkeitsbereich : EinkaufFachabteilung : Digitalisierung & Data Office MPGesellschaft : Mercedes-Benz AGStandort : Mercedes-Benz Werk Sindelfingen, SindelfingenStartdatum : ..4Veröffentlichungsdatum : ..4Stellennummer : MER3F9GArbeitszeit : Vollzeit (teilzeitgeeignet) BewerbenAufgaben

Tomorrow's mobility isn't a coincidence, it's the result of data-driven decisions. By interning at Mercedes-Benz, you will become part of the automotive history of one of the most innovative companies in the world. You will work with colleagues who share your pioneering spirit and drive the digitalisation of an entire business unit.

As the digital spearhead in Mercedes-Benz Cars Purchasing and Supplier Quality, our team is at the forefront of digital transformation in purchasing. For us, Advanced Analytics and AI are more than just buzzwords - they are essential tools for developing precise prediction models, identifying improvement opportunities in our business processes, and creating detailed analyses. Through data-driven decision-making, we streamline our colleagues' work and unlock significant financial potential for our company.

During your internship, you'll gain invaluable experience in advanced analytics and AI while working on impactful digitalisation projects. Join our young, dynamic team of data pioneers, digitalisation visionaries, creative problem solvers, and tech-driven enthusiasts.

As part of your internship in Advanced Analytics & AI, you will be assigned the following exciting tasks :

• Support the implementation of digitization projects in the areas of Advanced Analytics and Artificial Intelligence
• Assistance in identification, analysis, and evaluation of top-down / bottom-up process optimization potentials through qualitative and quantitative analyses as well as requirements engineering and rapid prototyping (Power BI / Python stack in Azure environment).
• Development of high-quality analytics products and implementation of GenAI in the system landscape
• Responsibility for data analysis from conceptualization through modeling to implementation using advanced analytics methods (data mining, machine learning, neural networks, etc.)
• Insights into the application of agile software development methods and collaboration with international teams and the selection and collaboration with external development partners
• Co- design of strategic, cross-functional data models for use in multiple analytics projects and integration into a project-spanning data layer.
• Identify and formulate the topic for an external Bachelor's or Master's thesis with Mercedes-Benz

Qualifikationen

Additional information :

Please find the criteria of employment .

Citizens of countries outside the European Trade Union please send, if applicable, your residence / work permit.

Please understand that we no longer accept paper applications and that there is no right to get your documents returned.

BenefitsEssens­zulagenMit­arbeiter­handy möglichMit­arbeiter­rabatte möglichMit­arbeiter­beteili­gung möglichMit­arbeiter EventsCoachingFlexible Arbeits­zeit möglichHybrides Arbeiten möglichGesund­heits­maß­nahmenBetrieb­liche Alters­ver­sorgungMobilitäts­angeboteBarriere­frei­heitGute An­bindungPark­platzKinder­betreuungBetriebs­arztKantine, Café

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