Intern Electromobility and AI Analysis

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: MER0003PQK Are you attached to the product innovations at Mercedes-Benz? Do you want to work in the exciting field of electromobility and make your contribution to the mobility of the future? The areas “Project Management of Electric Drivetrain Large Cars” and “Digital Drive Development & Simulation c-/e-Drive” are concerned with the design of electric drive systems and the digitization of development processes. In the design of the e-Drive overall system, sales requirements, customer, continuous data and other data sources as well as different simulation and development methods are used. Within the framework of the written work, an overview of the customer's requirements over the entire design range is to be created using different data sources and existing specification gaps are to be identified. For this purpose, it is first necessary to check the available data sources on their data quality in order to define customer groups and usable characteristics & features in the further procedure and to be able to describe the behavior of customer clusters. The work is accompanied by a literature research for different AI approaches, which are intended to be used for the topic. The following tasks are to be processed with the example of a vehicle series: Literature research on AI approaches

Analysis of existing data sources to be able to evaluate the requirements from the system load booklet data-based

Checking the data quality of the available data and showing specification gaps

Definition of criteria for customer clusters based on AI approach for a field data-based interpretation

Development of new characteristics, characteristics, data sources and methods to close gaps in the request catalogue

First results from customer cluster analysis, comparison with current design and definition of further steps

The internship can start from October 2025.

Course: Automotive Engineering, Computer Science, Electrical Engineering, Mechanical Engineering, etc.

Basic understanding in the areas of electromobility/electric drivetrain, data analytics and machine learning

Basic knowledge of data evaluation, cloud computing and simulation tools (Matlab, MS-Azure/Databricks, etc.)

Reliability, commitment, independentness and teamability

Secure knowledge of German and/or English

Additional information: Of course, without formalities, we are not. Please apply exclusively online and add a CV to your application, current enrollment certificate with semester indication, current grade, relevant certificates, if applicable. Compulsory internship certificate and proof of the rule period (maximum size of the annexes 5 MB) and in the online form mark your application documents as ''relevant for this application'. Further information on the setting criteria can be found here. Members of countries outside the European Economic Area may send their residence/work permit. We are particularly pleased to receive online applications of disabled people and disabled people. If you have any questions, you can also contact SBV-Sindelfingen@mercedes-benz.com to the site's severely disabled representative, who will be happy to support you in the further application process after your application. Please understand that we no longer accept paper applications and there is no claim to return. Questions about the application process will be answered by HR Services by e-mail to myhrservice@mercedes-benz.com or by phone: 0711/17-99000 (Monday to Friday between 10-12 am and 13-15 pm).

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