Working Student - Machine Learning and AI (f/m/div)

#WeAreIn to create tiny chips and

big careers.

Are you ready to take the first step

in your career? Let's shape the future together! 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

• Focus on the future: Support data analysis and reporting activities by collecting, cleaning, and analyzing datasets using Excel, SQL, and visualization tools such as Power BI or Tableau
• Reliable work: Assist in AI and machine learning projects through data preparation, model evaluation, documentation, and performance tracking
• Take responsibility: Create dashboards and presentations to communicate insights, project progress, and key findings to stakeholders using PowerPoint and data visualization tools
• Keep up to date: Conduct research on AI trends and technologies and support the team in identifying opportunities to improve processes, analytics, and AI-driven solutions

Your profile

Qualifications and skills to help you succeed

• Study Field: Currently enrolled in a degree with focus on Computer Science, Natural Sciences/Engineering, or a related field
• Skills: Excellent knowledge of Microsoft Office tools (especially Power Point, Excel); proficiency in data analysis and visualization tools such as Tableau, Power BI, or similar software
• Experience: Experience with data manipulation and statistical analysis using tools like Excel and SQL

• Way of working: Strong analytical and problem-solving skills as well as strong communication and presentation skills

• Language skills: Good German and English language skills

Please attach the following documents to your application:

• CV in English
• Certificate of enrollment at university
• Latest grades transcript (not older than 6 months)
• High school report

Important information:

• Working part-time: The focus is on studies. That’s why working as a student employee during lecture period is limited to a maximum of 20 hours per week.
• Proper students (according to the German law) are welcome: To work as a student employee with us, you must be enrolled at a university and not have completed all of your exams or modules for your degree programme. You must not be in a semester of leave. We look forward to welcoming you to our team for at least 6 months.
• You should live close to the site: For good collaboration, it is important to us that you can come to the office regularly to integrate to the team.

#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.

We strive to create the best Infineon for everyone by embracing diversity and inclusion. We welcome applicants for who they are and offer a workplace built on trust, openness, respect and equal opportunity.

Our hiring decisions are based on skills and experience. Even if you don’t meet every requirement, we encourage you to apply.

Please let your recruiter know if you need any accommodations during the interview process.

Learn more about our various contact channels and about Diversity & Inclusion at Infineon.

Bárbara Moreira