Internship - Data Science in Product Engineering (f/m/div)

#WeAreIn to create tiny chips and big careers. The future won't wait... why should you? Join us and make a difference. Whether you join as a student, intern, or trainee, you'll be part of something real - real projects, real impact, and real opportunities to grow. Are you in?

Your Role

Key responsibilities in your new role

• Data Analysis: Analyze and preprocess large-scale electrical data from production testing, experiments, and verification processes using statistical methods and machine learning techniques to derive insights and optimize workflows
• Software Development: Develop and optimize software to support data processing and machine learning pipelines while maintaining scalability and automation
• Documentation: Create and maintain clear, modular documentation for software and scripts using tools like Jupyter Notebooks, ensuring usability and reproducibility
• Knowledge Sharing: Collaborate and share newly defined approaches in technical papers to foster innovation and knowledge exchange with peers
• Collaboration: Work closely with cross-functional international teams, gaining exposure to diverse expertise and best practices

Further Information
Type of employment: Temporary / Part-time or Full-time (flexible working hours from Monday to Friday between 6 a.m. and 7 p.m.)
Duration: min. 12 months

Master Thesis topics might be available if requested

Your Profile

Qualifications and skills to help you succeed

• Education: You are a motivated and committed student, ideally pursuing a master's degree in Computer Science, Mathematics, Statistics, Data Science & AI, or similar fields
• Working Style: A self-driven working style and a strong interest in optimizing workflows using data
• Programming Skills: Proficiency in Python (experience with machine learning libraries preferred), and familiarity with R or MATLAB as a plus
• Experience: Experience in data processing workflows, feature engineering, and training or evaluating ML models. A solid foundation in descriptive, inferential, predictive, and prescriptive statistics
• Soft Skills: The ability to clearly communicate complex data science concepts in presentations or reports. Strong collaboration skills, with a passion for working in teams across different fields
• Language Skills: Good communication skills in English (German is a plus)

This position is subject to the collective agreement for workers and employees in the electrical and electronics industry (full-time), employment group B for bachelor students, employment group D for master students (https://www.feei.at/wp-content/uploads/2024/04/minimum-salaries-white-collar-workers-2025.pdf).

Please attach the following documents (German or English) to your application:

• CV
• Certificate of matriculation at a university
• Latest Transcript of records (not older than 6 months)
• Highest completed educational certificate (Matura certificate for Bachelor students, Bachelor certificate for Master students)
• Reference letter (optional)
• Motivation letter (optional)

Contact:
Sabrina Nindler

#WeAreIn for driving decarbonization and digitalization.
As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener.
Are you in?

We are on a journey to create the best Infineon for everyone.
This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant´s experience and skills. Learn more about our various contact channels.
We look forward to receiving your resume, even if you do not entirely meet all the requirements of the job posting.
Please let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process.
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