Internship - Data Science Analyst

The student, as part of the Artificial and Data Intelligence team and under the guidance of an assigned mentor, will undertake projects related to digitalization or AI.

Your role

Key responsibilities in your new role

• 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.
• Manufacturing Domain Learning: Be coached to understand Backend manufacturing processes and operations.

  Internship Learning Outcomes:

• Semiconductor Industry Knowledge: Obtain an in-depth understanding of the semiconductor industry, Product Test Engineering, and Back-end testing.
• Data Analysis & Root Cause Investigation: Be exposed to various data analysis, statistics, and data engineering techniques and how they are used to identify root causes.
• Programming & Data Engineering Skills: Gain hands-on experience related to programming, data preparation, internal systems, and data architecture.
• Tools & Technology Proficiency: Gain real-life experience using in-house data extraction tools, data visualization tools, Python, Database Management, and ML tools.
• AI/ML Application Experience: Develop practical understanding of how AI and machine learning models are built, tested, and deployed in a manufacturing context.
• Cross-Functional Collaboration: Build experience working alongside technical experts and domain specialists to translate business requirements into data-driven solutions.

Your profile

Qualifications and skills to help you succeed

• 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

#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.

Hillary Woo

https://www.linkedin.com/in/hillary-woo/