Internship - Machine Learning and Data Analytics
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- Pay
- Pay not listed
- Work setting
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- Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
What you’ll work on
Full postingPerform statistical and exploratory data analysis
Build data analysis and machine learning models for predictive analysis
Work on other backend data and analytics projects
From the employer’s posting
Perform statistical and exploratory data analysis.
Build data analysis and machine learning models for predictive analysis, image classification, Gen AI, and other tasks.
Be involved in other backend data and analytics projects.
What you’ll bring
All qualificationsCore experience
- On track to a Bachelor's or Master's degree in electrical, computer, IT, data science or analytics
- Know-how in machine learning and programming
- Able to commit a minimum of 5 months, Jan 2027 to May 2027
- Motivated to learn and pick up new skills
Preferred experience
- Knowledge of R or Python
Qualification wording
On track to attain a Bachelor's or Master's degree in Electrical/Electronic Engineering, Computer Engineering/Science, Information Technology, Data Science, or Analytics.
Know-how in machine learning and programming languages preferred: R, Python.
Preferred-Intake: Jan 2027 - May 2027, able to commit a minimum of 5 months.
Motivated to learn and pick up new knowledge/skills.
Tools in this posting
- Python
- R
Source — Tool mentions in context
Data Analysis: Perform statistical and exploratory data analysis. Project Involvement: Be involved in other backend data and analytics projects. Model Development: Build data analysis and machine learning models for predictive analysis, image classification, Gen AI, and other tasks. Educational Background: On track to attain a Bachelor's or Master's degree in Electrical/Electronic Engineering, Computer Engineering/Science, Information Technology, Data Science, or Analytics. Programming & ML Skills: Know-how in machine learning and programming languages preferred: R, Python. Learning Mindset: Motivated to learn and pick up new knowledge/skills. Preferred-Intake: Jan 2027 - May 2027, able to commit a minimum of 5 months. 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/
Posting record
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- Live
- First seen by us
- Sep 6, 2026 · 54 days ago
- Recorded sightings
- 182
- Last seen by us
- Oct 31, 2026
- Employer says posted
- Sep 2, 2026
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Job description
Data Analysis: Perform statistical and exploratory data analysis. Project Involvement: Be involved in other backend data and analytics projects. Model Development: Build data analysis and machine learning models for predictive analysis, image classification, Gen AI, and other tasks. Educational Background: On track to attain a Bachelor's or Master's degree in Electrical/Electronic Engineering, Computer Engineering/Science, Information Technology, Data Science, or Analytics. Programming & ML Skills: Know-how in machine learning and programming languages preferred: R, Python. Learning Mindset: Motivated to learn and pick up new knowledge/skills. Preferred-Intake: Jan 2027 - May 2027, able to commit a minimum of 5 months. 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/
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