To strengthen our team in München we are looking for a/anIntern Data Science / Data Engineering (f/m/d)Job ID: 25145SOME IT WORKS. SOME CHANGES WHAT'S POSSIBLE.SHARE YOUR PASSION.More than 90% of automotive innovations are based on electronics and software. That's why creative freedom and lateral thinking are so important in the pursuit of truly novel solutions. That’s why our experts will treat you as part of the team from day one, encourage you to bring your own ideas to the table – and give you the opportunity to really show what you can do. We offer an interesting internship in the Delivery Assurance department in the field of Data Science / Data Engineering to help start the Supply Chain Innovations Think Tank (SCITT) and continue BMW’s leadership in supply chain management. The goal of SCITT will be to research emerging technologies including Data Science (ML, AI, BI etc), UX, and creativity creation and build BMW’s supply chain leadership in these areas. What awaits you?You will be part of the BMW Supply Chain Digitalization Working Circle, a global network of supply chain experts deploying and sharing digital solutions at the BMW Group.As part of SCITT you will be involved in building collaborations within all resorts of the BMW Group including engineering, purchasing and production and honing BMW’s know how of data science.You will help expand our network and build relationships with our innovation’s hubs in locations such as in Silicon Valley, and Tokyo in regards to advances in supply chain analytics.You will also help build a backbone of knowledge to fuel future innovations in our Material Steering and Delivery Assurance group by developing a solution to centralize information and effectively deploy knowledge back into the business.You will embrace data analytics tools and methods confidently and responsibly to solve business challenges.You will leverage data to discover patterns and solve strategic analytic business problems.You will help to develop static and interactive data visualization of your findings. What should you bring along?Currently enrolled full time in an undergraduate or graduate program at an accredited college or university studying Computer Engineering, Software Engineering, Informatics, Data Science.Master’s Degree preferred.Knowledge in areas Concept, implementation and optimization of data pipelines.Knowlege in Python for AI-/ Analytics-libraries such as Scikit, TensorFlow, PyTorch, NumPy an advantage or equivalents.Knowledge in Data Engineering (Spark/SQL): understanding of different data visualizations Tools for Data Visualisation (i.e. AWS QuickSight, Tableau, Power BI, Impact plotly/dash, Angular.js/React.js).Experience in Software Engineering und Agile software development (I,e Git, Scrum, Jira, CI/CD etc.).Ability to develop from complex data analysis web-based solutions for business use in understanding data.Strong understanding of data warehousing architectural approaches. You are enthused by new technologies and an innovative environment? Apply now! Earliest starting date: 2021-09-01Duration: 6 months. Working hours: Vollzeit Contact: BMW Group Recruiting Team+49 89 382-17001BMW GroupRecruitingMunichAPPLY NOWAre you looking for an exciting challenge? Then join our team.You can find detailed information about us as an employer at bmwgroup.jobs/careersInterested in application tips and career advice?Then go tofacebook.com/bmwgroupcareersandinstagram.com/bmwgroupcareers.