AI-Driven Data Analytics Intern: Quality Drift & Automation

Micron Technology, Inc; Singapore; On-site; SGD 17,000 - 22,000; Full time

Job summary

Micron Singapore invites a full-time internship for 5 months (Jan–May 2027) in Photolithography Process and Equipment Engineering. You will apply data analytics and machine learning to large-scale quality datasets to detect drift, query data, preprocess, model, and visualize results.

The project aims to develop analytical models, automation workflows, and visualization tools to improve engineering productivity and product quality, with potential for future employment opportunities.

Qualifications

• Strong analytical thinking and general problem-solving skills.
• Background in data analytics, statistics, or large dataset interpretation.
• Programming experience in R, Python, or a similar language.
• Familiarity with machine learning, data visualization, or optimization concepts.
• Familiarity with Artificial Intelligence tools, AI Assistants, or AI-Enabled workflows is advantageous.

Responsibilities

• Develop analytical models for monitoring selected quality metrics.
• Apply machine learning and multivariable analysis to large-scale test and measurement data.
• Create automated workflows that improve engineering productivity.
• Develop visualizations that communicate model results and quality trends effectively.

Skills

Data analytics

Statistics

Python

R

Machine learning

Data visualization

Optimization

Problem solving

Education

Engineering

Statistics

Mathematics

Computer Science

Data Science

Tools

Python

R

AI tools

Job description

Micron Singapore invites a full-time internship for 5 months (Jan–May 2027) in Photolithography Process and Equipment Engineering. You will apply data analytics and machine learning to large-scale quality datasets to detect drift, query data, preprocess, model, and visualize results.

The project aims to develop analytical models, automation workflows, and visualization tools to improve engineering productivity and product quality, with potential for future employment opportunities.