Schaeffler is a dynamic global technology company and its success has been a result of its
entrepreneurial spirit and long history of private ownership. Does that sound interesting to you? As a partner to all of the major automobile manufacturers, as well as key players in the aerospace and industrial sectors, we offer you many development opportunities.
General information
Sales Excellence transforms data into clear and actionable insights that enable smarter and more profitable decisions. We develop intelligent tools and harmonized processes that simplify daily work and boost sales performance. By leveraging deep customer insights and building strong technical partnerships, we identify new opportunities that drive sustainable and profitable growth.
A basic requirement for a thesis at Schaeffler is proof of enrollment at the time of the thesis. This position is available from March 1, 2026 for a duration of 3-6 months.
Your Key Responsibilities
- Implementation of innovative AI use cases within Sales Excellence, such as machine learning based volume planning and opportunity evaluation
- Collection, preprocessing, and normalization of large datasets as a foundation for machine learning models
- Development and application of algorithms and tools for data processing and analysis
- Validation and performance optimization of machine learning models
- Creation of meaningful data analyses and visualizations to support data-driven decision making
- Support in the automation of data workflows to increase efficiency
- Preparation of technical documentation, reports, and presentations for internal stakeholders
Your Qualifications
- Studies in the field of Data Science, Computer Science, Business Informatics or a comparable field
- Fluent verbal and written communication skills in English (min. B2 level)
- At least basic knowledge of German language
- Proficiency in Microsoft Suite, especially in Excel
- Strong foundation in machine learning concepts, including supervised learning, classification algorithms, model evaluation and validation techniques
- Proficiency in data preprocessing skills such as data cleaning, feature engineering, handling missing values, and normalization
- Experience with programming languages and tools commonly used in machine learning, such as Python (libraries like scikit-learn, pandas, numpy, matplotlib)
- Understanding of statistical analysis and performance metrics
- Skills in data visualization to interpret model results and communicate findings effectively to stakeholders
- Familiarity with model deployment and automation concepts is a plus to facilitate integration into business processes
- Independent, structured, and responsible working style combined with a strong willingness to learn
- Strong teamwork and communication skills
As a global company with employees around the world, it is important to us that we treat each other with respect and value all ideas and perspectives. By appreciating our differences, we inspire creativity and drive innovation. In this way, we contribute to sustainable value creation for our stakeholders and society as a whole. Together, we advance how the world moves.
Exciting assignments and outstanding development opportunities await you because we impact the future with innovation. We look forward to your application.
www.schaeffler.com/careers
Your Contact
Vitesco Technologies GmbH
Karolina Kowalska
