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THE BEST INTERNSHIP IN THEORY - AND IN PRACTICE. SHARE YOUR PASSION. World-leading technologies don’t make it into a BMW until they’ve undergone one of the most challenging journeys imaginable. It takes dynamic teams with outstanding technical skills to take them from the drawing board to the road. 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. Our Material Steering departments at the BMW Group order over 31 million parts daily to enable our 30+ production locations to build more than 2.5 million vehicles per year. We are revolutionizing our supply chain operations through cutting-edge machine learning and AI engineering, developing models for natural language to SQL conversion, voice-to-text transformation, automated code documentation, and supply chain risk assessment. What awaits you? You will support collecting, preprocessing, and analyzing large datasets to extract meaningful insights that drive supply chain improvements. Furthermore, you help design, implement, and validate machine learning models to predict supply chain trends, optimize logistics, and improve operational efficiency. In addition, you contribute to developing algorithms and systems for automating reporting tasks, reducing manual effort and minimizing errors. Moreover, you will assist in working with cross-functional teams, including data engineers, supply chain experts, and IT professionals, to ensure seamless integration of ML solutions. What should you bring along? Studies in Data Science, Computer Science, Engineering, Mathematics or a related field (Master's degree). Proficiency in programming languages such as Python or R. Experience with data analysis tools and libraries such as Pandas, NumPy, Matplotlib, Scikit-Learn. Familiarity with machine learning frameworks such as TensorFlow or PyTorch. Knowledge of cloud platforms such as AWS, Azure, or Google Cloud. Knowledge of SQL and experience with database management. Excellent written and verbal communication skills in English. Would you like to shape the future of supply chain digitalization with machine learning and make a tangible impact? Then Apply now! What do we offer? Comprehensive mentoring & onboarding. Personal & professional development. Flexible working hours. Mobile work. Attractive & fair compensation. Apartments for students (subject to availability & only at the Munich location). And much more, see bmw.jobs/whatweoffer Start date: earliest start [[actualStartDate]] Duration: 6 months Working hours: Full-time You can find helpful tips on your application and the application process here . At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants. Learn more here .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.