3 intern jobs found in Stuttgart

Do you want to help shape and change   the future of payments   ? Then become part of our team at S-Payment! S   -Payment   is part of the DSV Group and sets the pace for all payment-related matters within the Sparkassen-Finanzgruppe (Savings Banks Finance Group). We identify trends, provide new impetus, and drive the Sparkassen forward with innovative payment solutions – thereby directly impacting over 45 million end customers. We develop and market payment solutions for both point-of-sale (POS) and e-commerce/m-commerce. This includes contactless payments with cards and smartphones (the "Mobile Payment" app for Android and Apple Pay with Sparkasse), and much, much more. This is what you can expect Identification and evaluation of AI use cases in the payment environment of S-Payment Translating AI potential into concrete product ideas and improvements to existing solutions Managing projects for the introduction of AI functions in products and...

Welcome to CBTW! We are an innovative team with over 3,000 employees in 21 countries and leaders in strategy & governance, software engineering, data analytics & AI and more. As a member of our team at CBTW, you'll work in an inspiring environment on challenging projects. We foster the development of tomorrow's experts and value your ideas. If you're ready to shape the future of data-driven transformation with a highly motivated team, apply to CBTW now! Together, we'll achieve great things. Tasks Development and optimization of data pipelines and data platforms on Databricks Development and enhancement of ETL/ELT processes Integration of various data sources Ensuring data quality, stability and performance Collaboration with specialist departments and project teams qualification Several years of experience in data engineering Good knowledge of Databricks, SQL and Python Experience with cloud platforms (Azure, AWS or GCP) Fluent German...

Tasks In your master's thesis, you investigate the hypothesis that security-relevant deviations in the supply chain are not systematically reported, and to this end, you evaluate the applicability of monitoring mechanisms in a global corporation like Bosch in order to be able to identify these deviations more efficiently in the future. You analyze extensive supply chain data to identify patterns and precisely define relevant deviations. You define a subset of the data to be examined and define its limits appropriately to enable a focused investigation. You conduct a detailed investigation of the defined subset, for example by analyzing inventory discrepancies in selected storage locations. You provide a sound assessment of the suitability and efficiency of various monitoring mechanisms for use in a global corporation. You summarize your results in a scientific master's thesis and present them convincingly to the department. Profile...