Internship - Test Data Analytics
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- Python
- R
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Qualifications and skills to help you succeed * Educational Background: On track to attaining any related field in Data Analytics or equivalent * Data Analytics Proficiency: Knowledgeable in statistical data analytics methods, proficient in using visualization tools to build dashboards that provides meaningful insights * Coding skills: proficient in scripting languages, for eg. python, R * Positive attitude: Self driven keen interest in learning about semiconductor test processes & other relevant areas. Ability to leverage on existing tools to find information & independently make assessment on its reliability * AI Modelling Experience: Practical experience in developing or training LLM agents or classical machine learning models will be an advantage * Preferred Internship Period: Jan 27 - Jun 27 Contact: Hillary Woo
Job description
As a Test Data Analytics Intern, you will work closely with our engineering and data analytics teams to transform raw data into actionable insights through comprehensive analysis and interactive dashboards. This role is perfect for students passionate about data science, analytics, and emerging technologies in the semiconductor industry, with focus on testing domain.
Your Role
Key responsibilities in your new role
* Data Cleansing & Exploration: collect & conduct data exploration, cleansing & transformation
* Data Analysis & Interpretation: build data visualization dashboard to provide quick data insights
* Develop new solutioning methods: Assist in conducting proof-of-concept studies or design experiments to evaluation new solutions for test optimization
Internship Learning Outcomes
* Technical Knowledge: Gain direct exposure & understanding of the semiconductor manufacturing test processes, at the same time learn how to handle big data to gain meaningful insights & build data visualization dashboards. Gain exposure to various applications leveraging on state-of-the-art digitalization/ AI methods that benefit test optimization.
* Collaboration Skills: Opportunities to interact and collaborate with diverse teams across Infineon globally, during the course of project discussions involving various functions.
Your Profile
Qualifications and skills to help you succeed
* Educational Background: On track to attaining any related field in Data Analytics or equivalent
* Data Analytics Proficiency: Knowledgeable in statistical data analytics methods, proficient in using visualization tools to build dashboards that provides meaningful insights
* Coding skills: proficient in scripting languages, for eg. python, R
* Positive attitude: Self driven keen interest in learning about semiconductor test processes & other relevant areas. Ability to leverage on existing tools to find information & independently make assessment on its reliability
* AI Modelling Experience: Practical experience in developing or training LLM agents or classical machine learning models will be an advantage
* Preferred Internship Period: Jan 27 - Jun 27
Contact:
Hillary Woo
#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.
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.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on jobs.infineon.com. The employer’s form will show what is required.
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- Status in our records
- Active
- First seen by us
- Aug 14, 2026
- Recorded sightings
- 84
- Last seen by us
- Oct 9, 2026
- Employer says posted
- Jul 3, 2026
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