Internship - Data Science Analyst

AI & Digitalization Projects: Work on digitalization or AI projects to improve productivity in manufacturing. Machine Learning Implementation: Work on various machine learning techniques and software to operationalize the solution. Stakeholder Engagement: Work with various technical experts in understanding the business requirement. Technical Exposure: Be exposed to different software systems and scripting languages to complete the project. Educational Background: On track to attain a Bachelor's or Master's degree in Data Science, Computer Science, Applied Mathematics, Statistics, Business Analytics, or a related technical discipline. Data & Programming Skills: Proficient in data mining, data visualization, and coding skills in Python. AI/ML Expertise: Experience in AI/ML/DL, Computer Vision (CV), and optimisation techniques. Self-Motivation & Learning Agility: Passion for AI and a high degree of self-initiative and independent learning. Communication & Analytical Skills: Strong communication and analytical skills to effectively engage with technical and non-technical stakeholders. Preferred intake: Jan 2027 - May 2027 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. Hillary Woo https://www.linkedin.com/in/hillary-woo/