Internship - Data Scientist and Automation

The student, as part of the digitalization team, and under the guidance of senior team members, will undertake projects related to digitalization and AI.

Your Role

Key responsibilities in your new role

• Automation & Data Pipelines: Design and implement automation solutions to streamline data ingestion, processing, and analysis using tools such as Python, SQL, and data pipeline frameworks.
• Advanced Analytics & Modeling: Apply statistical and machine learning techniques to analyze complex manufacturing datasets, identify trends, predict outcomes, and support process optimization under the guidance of senior team members.
• Data Visualization & Insights: Develop interactive dashboards, reports, and visualizations to communicate manufacturing insights and enable data-driven decision-making and continuous improvement.
• AI Research, Training & Validation: Support the development of AI models and algorithms by contributing to model training, testing, evaluation, and validation to ensure accuracy, robustness, and reliability.

Internship Learning Outcomes:

• Cross-Functional Collaboration: Learn to work with cross-functional teams to deliver data science and AI initiatives in a manufacturing environment.
• Analytics Skill Development: Strengthen practical skills in data analysis, modeling, and visualization through real-world projects.
• AI Model Lifecycle Understanding: Build foundational understanding of AI model development, testing, evaluation, and validation processes.

Your Profile

Qualifications and skills to help you succeed

• Education: Currently enrolled in a degree program in Computer Science, Data Science, Artificial Intelligence, or a related field.
• AI/ML Interest: Strong interest in artificial intelligence and machine learning applications.
• Programming Skills: Familiarity with programming languages such as Python and SQL; experience with R or Java is a plus.
• ML Framework Exposure: Basic understanding of machine learning frameworks (e.g., Tensor Flow, Py Torch), data preprocessing, feature engineering, and model evaluation is advantageous.
• Data Visualization Tools: Experience with visualization tools such as Tableau, Power BI, or D3.js.
• Data Libraries: Familiarity with data manipulation and analysis libraries such as Pandas and Num Py.
• Productivity Tools: Proficient in Microsoft Office (Excel, PowerPoint, Word).
• Analytical & Problem-Solving Skills: Strong analytical thinking with a structured approach to problem solving.
• Communication & Teamwork: Strong communication and interpersonal skills with the ability to work independently and collaboratively.
• Preferred Intake: Jan 27 – May/June 27.

Contact:
Hillary Woo

#We Are In 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.
Please let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process.
Click here for more information about Diversity & Inclusion at Infineon.