Internship - Test Data Analytics

Join our team as a Test Data Analytics Intern and gain hands-on experience transforming complex semiconductor test data into actionable insights. Working closely with engineering and data analytics teams, you will leverage data science, visualization, and emerging AI technologies to support data-driven decision-making and test optimization initiatives. This internship offers a unique opportunity to develop technical expertise while contributing to real-world manufacturing and testing challenges. Your role Key responsibilities in your new role Strength in Numbers: Conduct data collection, cleansing, transformation, and exploratory analysis to uncover meaningful patterns and insights Focus on the Future: Develop and enhance interactive dashboards and data visualization solutions to support efficient decision-making Be Creative: Apply analytical techniques to identify opportunities for process improvement and test optimization Experience Research: Support proof-of-concept studies and design experiments to evaluate innovative solutions for semiconductor test challenges Shape the Future: Contribute to the development of data-driven methodologies that improve manufacturing efficiency and testing effectiveness Internship Learning Outcomes: Broaden Your Horizons: Gain practical exposure to semiconductor manufacturing and test processes while understanding their impact on business and engineering outcomes Focus on the Future: Develop expertise in big data analytics, data visualization, and AI-enabled technologies for solving real-world test optimization problems Teamwork Is Dreamwork: Collaborate with diverse cross-functional teams across global locations and strengthen stakeholder engagement skills Lifelong Learning: Build hands-on experience in applying advanced analytics techniques and industry best practices within a high-tech manufacturing environment Your profile Qualifications And Skills To Help You Succeed Skillset: Apply statistical data analytics methods and leverage visualization tools to transform complex datasets into meaningful business insights Proficiency: Demonstrate proficiency in scripting languages such as Python or R for data analysis and automation Interests: Show a strong curiosity about semiconductor test processes, data-driven problem solving, and emerging technologies Work Style: Work independently, assess information critically, and make sound judgments on data reliability and quality Skills: Bring practical experience in machine learning, AI model development, or LLM-based applications as an added advantage Preferred Commitment: May 27 - Dec 27/ Apr 2028 #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. Lau Yu Qin