Internship - Machine Learning and Data Analytics

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Pay: Pay not listed
Work setting: Not stated
Employment: Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
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What you’ll work on

Full posting

Perform 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 qualifications

Core 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

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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Status in our records: Live
First seen by us: Sep 6, 2026 · 55 days ago
Recorded sightings: 182
Last seen by us: Oct 31, 2026
Employer says posted: Sep 2, 2026

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Job description

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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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