Dualer Student Data Science & Scientific Computing (w/m/x)
Note: This course is offered as a study with deeper practice. You love to discover causes for problems and find solutions and want to work on future topics? You have a passion for IT and digitalization? Then this study is just right for you. Because you are an expert: to manage huge amounts of data and derive predictions from it. Whether development data or data of our customers: you know where to find the right information ...
* After clicking the Read more button, the original advert will open on our partner's website, where you can see the details of this vacancy and contact information. If you need a translation of this text, after returning to our website it will be prepared and you can read it by clicking the Show full translation button.
Your tasks • Your profile • What we offer
Note: This course is offered as a study with deeper practice. You love to discover causes for problems and find solutions and want to work on future topics? You have a passion for IT and digitalization? Then this study is just right for you. Because you are an expert: to manage huge amounts of data and derive predictions from it. Whether development data or data of our customers: you know where to find the right information and how to prepare it. Your diverse IT know-how is essential for all business areas. Whether autonomous driving, connected vehicles, cyber security or machine learning – it doesn't work without you! Implementation and planning of agile projects. Programming languages (e.g. Python). IT security and technical data protection. Key mathematical skills. Analysis of problems and their communication and solution finding. Analysis, extraction, processing and presentation of data. All about Big Data, Data Analytics, Data Mining, Machine & Deep Learning, Artificial Neural Networks etc. in corporate practice. Theoretical and practical knowledge in exciting lectures of study such as e.g. Computorial Thinking, Robotics, Data retention, Object-oriented programming, Deep Learning and Modeling/Simulation. What do you expect after the dual study? Innovative projects. Working in and controlling agile teams. Various and exciting areas of application such as big data, business intelligence, cyber security, app development, connected vehicles, autonomous driving, predictive maintenance or quality assurance. Personal development and specialization opportunities in project and leadership positions. Motivation and initiative. Joy in cooperation with other people in the multicultural/international environment. Interest in IT and Data Science & Scientific Computing. Logical and analytical thinking. Fun in solving complex problems. Communication strength and team capacity. Joy in mathematics and computer science. Good knowledge of German and English. Higher education or training.
Attractive, fair remuneration including Christmas and holiday money. Personal promotion. Many possibilities for development. Excellent takeover opportunities. * Flexible working hours and leisure compensation. Vocational disability insurance. Varied and exciting tasks. Attractive Azubi vehicle rental. Individual travel expenses and/or free Germany ticket. Granted Azubi residences (only at the Munich site). Benefits and employee discounts. Business restaurants and cafés. Fitness and leisure activities. And much more see bmw.jobs/what we offer
*after successfully completed studies duration of training and study. 4.5 years
You can get more information about the program and the study content here. Start date: from 01.09.2027 You can find helpful tips about your application and the application process here. We at the BMW Group attach great importance to equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience and skills of the applicants:inside. More here. .
Location
![]() | BMW Group | |
| 84130 Dingolfing | ||
| Germany |
The text of this ad was translated from German into English using an automatic translation system and may contain semantic and lexical errors. Therefore, it should be used for introductory purposes only. For more detailed information, see the original text of the ad at the link below.
For more information read the original ad