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Mercedes-Benz AG | Germany | 70xxx Stuttgart | Practical training | Full time / Home office | Published since: 06.07.2026 on stepstone.de ♿️

Branch: Automotive, aeronautic, aer... Branch: Automotive, aeronautic, aerospace and ship building


Your tasks • Your profile • What we offer

Life is always about becoming... In life it is about going on a journey to become the best version of our future self. As we discover new things, we face challenges, master them and grow beyond us.

Apply to Mercedes-Benz and find the area where you can develop your talents individually. You will be supported by visionary colleagues who share your pioneering spirit. Joining us means becoming part of a global team whose goal is to build the most desirable cars in the world. Together for excellence.

Number: MER000454V Your internship – Digital Marketing Activation Do you want to actively participate in the digital transformation of one of the world's most famous brands? Then, for 6 months, we become part of our team in the field of digital marketing activation with a focus on Data Science/KI and collect valuable practical experience in a dynamic, international environment. Your tasks: Evaluate, analyze and make use of existing data sources (e.g. customer data, marketing data).

In the design and development of data pipelines, machine learning models and AI systems for vehicle and equipment recommendations

Support the integration of AI recommendations systems into personalization platforms (e.g. Salesforce)

Conduct literature research to identify emerging technologies and algorithms

contribute to the design and implementation of reporting and control strategies for the performance measurement of our recommendation systems

Working with a highly specialized and interdisciplinary team working on data driven innovations

Immatriculated in a course of study with first touch points on the topics Project Management, Computer Science, Statistics or Data Science

Flowing knowledge in written and spoken English

First contact points with machine learning algorithms and AI architectures or the motivation to build this understanding

First experiences in Python or R

First experiences with data processing tools such as Pandas, dplyr, NumPy and Apache Spark or the motivation to build experience in this area

First experience in designing A/B tests and creating reports to measure the real impact of recommendation systems

First experience with cloud platforms such as Azure and tools such as Databricks or the motivation to build this understanding

Basic knowledge of tools such as Git and DevOps, CI/CD or the motivation to build this understanding

Outstanding problem solving skills, enthusiasm for technical issues, system design and passion for cloud and AI topics

Outstanding team skills, motivation and commitment to innovation

Motivation to work on new topics and learn the necessary know-how

Please note that your internship at this site must have a prescribed mandatory share. Additional information: We are looking forward to your online application with CV, lettering, certificates, current enrollment certificate with a specification of the semester, if necessary. Compulsory internship certificate and proof of the regular study period. Please do not forget to mark your documents as ''relevant for this application' in the online form and note the maximum file size of 5 MB. Further information on the setting criteria can be found here. Disabled and equalized applicants are welcome! The severely disabled representative (sbv-zentrale@mercedes-benz.com) is happy to support you in the application process. HR Services will be happy to help you with questions about the application process. You can reach us by email via myhrservice@mercedes-benz.com or by phone at 0711/17-99000 (Mo-Fr 10-12am & 13-15am).

Food supplements Employee handy possible Employee discounts possible Employee participation possible Staff Events Coaching Flexible working time possible Hybrid work possible Health measures Employment Mobility offers Parking space Business doctor Good connection Accessibility Child care Kantine, Café

Location

ava Mercedes-Benz AG
70565  Stuttgart
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.

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