Internship in Customer Preferences & Vehicle Recommendations starting February/March 2025

Within the Mercedes-Benz Digital unit of the Marketing & Sales area, our team is responsible for ‘Customer Preferences & Vehicle Recommendations, covering topics from automated and personalized recommendations of vehicles & equipment based on customer preferences. Our Team builds customer data analytics products of the highest quality. We operate in a highly cross-functional environment that connects the business perspective directly to our data scientists and data engineers. This allows us to successfully handle complex tasks and products while delivering high-quality solutions with fast business impact. 

We are looking for an enthusiastic intern to join our team in February/March 2025 to help us with Customer Preferences & Vehicle Recommendations. From your new role you can expect: 

• Continuously evaluate and analyze on existing and potential data sources for relevant data & feature engineering
• Support in the development of scalable data and machine learning pipelines with a real-time deployment focus for multiple use cases
• Ideate and support in the development of evaluation strategy to monitor performance of recommendation system
• Literature research & evaluation on new technologies or algorithms especially in the field of AI based recommendation systems
• You will be part of a highly specialized team that extensively deals in AI & Data spectrum
• A working culture and the atmosphere of a start-up combined with the advantages of a large international corporation
• A flexible and agile working environment in intercultural and interdisciplinary teams
• Great freedom of design and short decision-making processes
• One of the most relevant and innovative topics within an established industry

• Studies in Data Science / Computer Science / Information Technology or relevant field
• Understanding of machine learning & deep neural network architectures
• Programming skills in Python with experience in TensorFlow or Keras or PyTorch is an advantage
• Experience in working with data processing tools such as Pandas, Numpy and Apache Spark
• Experience in working with model lifecycle management is advantageous
• Experience in working with Git, CI/CD, docker
• Personal skills: Enthusiasm for cloud, analytics & AI topics, problem solving skills, outstanding teamwork, motivation and commitment
• Fluent in written and spoken English
• Enrolled student with active resident permit in Germany  

Additional information:

It doesn’t work completely without formalities. When sending your online application, please attach your CV, certificate of enrollment, current performance record, relevant certificates, if applicable proof of mandatory internship and the standard period of study (max. 5 MB) and mark your application documents as "relevant for this application" in the online form.

Please find the criteria of employment "here".

Citizens of countries outside the European Trade Union please send, if applicable, your residence / work permit.

We particularly welcome online applications from candidates with disabilities or similar impairments in direct response to this job advertisement. If you have any questions, you can contact the local disability officer once you have submitted your application form, who will gladly assist you in the onward application process: sbv-zentrale@mercedes-benz.com

Please understand that we no longer accept paper applications and that there is no right to get your documents returned.

If you have any questions regarding the application process, please contact HR Services by e-mail at myhrservice@mercedes-benz.com or by phone: 0711/17-99000 (Monday to Friday between 10 a.m. to 12 a.m. and 1 p.m. to 3 p.m.).