> job detail
B
👽Other
Intern AI and Machine Learning at Rolls-Royce Motor Cars (f/m/x) (Munich, BY, DE, 80809)
BMW AG · Munich, BY, DE, 80809
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Other (Adjacent or hard to classify.)
posted
1d ago
location
Munich, BY, DE, 80809
languages
python
tools
—
> stack
python
> description
<p><b>THE BEST INTERNSHIP IN THEORY - AND IN PRACTICE.</b></p>
<p><b>SHARE YOUR PASSION.</b></p>
<p>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.</p>
<p>Our team at Rolls-Royce Motor Cars places clients at the centre of everything we do. We strive to be the most innovative and impactful Analytics and AI team in luxury retail, using data, machine learning and intelligent automation to shape highly personalised, predictive and seamless client experiences. You will contribute to intelligent solutions that connect data, business context and automation, including Agentic AI and advanced analytics to enhance operational efficiency.</p>
<p><strong>What awaits you?</strong></p>
<ul>
<li>You will support the design, training and evaluation of AI and machine learning models, including emerging Agentic AI use cases.</li>
<li>Furthermore, you help identify opportunities where data, automation and AI can create measurable business value.</li>
<li>In addition, you contribute to end-to-end AI solutions, from data exploration and prototyping to evaluation and deployment support.</li>
<li>Moreover, you assist in visualising insights and communicating findings clearly to stakeholders across different business areas.</li>
<li>Additionally, you support collaboration with colleagues across AI, IT, Sales, Aftersales and Brand.</li>
<li>You also contribute to innovative projects that combine luxury client experience, commercial impact and cutting-edge AI technology.</li>
</ul>
<p> </p>
<p><strong>What should you bring along?</strong></p>
<ul>
<li>Studies in a Master's programme with a strong focus on artificial intelligence, computer science, business analytics, engineering or technology management.</li>
<li>Strong programming skills in Python, ideally with experience in developing AI or machine learning solutions in an end-to-end manner.</li>
<li>Solid understanding of machine learning concepts, model evaluation and practical AI applications.</li>
<li>Interest in Agentic AI, Large Language Models, automation frameworks or AI-assisted decision-making.</li>
<li>Passion for working with data, solving complex problems and translating insights into business impact.</li>
<li>Proactive, curious and structured mindset with confidence to challenge assumptions and explore new ideas.</li>
<li>Fluency in English, both spoken and written.</li>
</ul>
<p> </p>
<p>Would you like to shape the future of AI in luxury retail and gain hands-on experience with cutting-edge technologies? Then Apply now!</p>
<p> </p>
<p><strong>What do we offer?</strong></p>
<ul>
<li>Comprehensive mentoring & onboarding.</li>
<li>Personal & professional development.</li>
<li>Flexible working hours.</li>
<li>Mobile work.</li>
<li>Attractive & fair compensation.</li>
<li>Student apartments (subject to availability & only at the Munich location).</li>
<li>And much more, see <u><a href="https://www.bmwgroup.jobs/de/en/about-us/benefits/benefits-students.html">bmw.jobs/whatweoffer</a></u></li>
</ul>
<p> </p>
<p><strong>Start date: </strong>earliest start 08/03/2026</p>
<p><strong>Duration: </strong>6 months</p>
<p><strong>Working hours: </strong>Full-time</p>
<p> </p>
<p>You can find helpful tips on your application and the application process <a href="https://www.bmwgroup.jobs/de/en/jobs/apply.html">here</a>.</p>
<p> </p>
<p>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 <a href="https://www.bmwgroup.jobs/de/en/about-us/diversity.html">here</a>.</p>