Intern

Semiconductor Manufacturing

Intern-AI/DataScience

S$36–60k ~AI est. Singapore, Singapore FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Entry candidates.

The Brief

“Intern - AI / Data Science at Intern. Skills: Data analysis, Machine learning, Data engineering, Predictive modelling. Perform exploratory data analysis. Identify patterns”

What You'll Achieve.

Improve understanding of manufacturing processes; Support informed decision-making; Enhance understanding of process behaviour; Generate scalable concepts for analytical modelling

Industry & Context.

Semiconductor Manufacturing
Problems you'll solve

Analytical thinking; Problem-solving skills

What They're Looking For.

Must Have

Programming skills in Python, Basic knowledge of statistics, Basic knowledge of machine learning, Familiarity with data querying tools, SQL proficiency, Analytical thinking, Problem-solving skills, Ability to communicate technical concepts clearly

Nice to Have

PhD preferred, Specific ML framework experience, Cloud platform certs

What You'll Do.

Perform exploratory data analysis

Identify correlations

Apply statistical methods

Develop machine learning models

Evaluate machine learning models

Explore anomaly detection methods

Identify deviations in data

Design data workflows

Create data visualisations

Present analytical insights

How You'll Work.

Communication Scope

Communicate technical concepts

Full Job Description

**Our vision is to transform how the world uses information to enrich life for all.** Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. **Project Title:** Development of Data-Driven Insights and Predictive Models for Semiconductor Manufacturing **Project Description:** This project focuses on applying data analysis, statistical modelling, and machine learning techniques to large semiconductor manufacturing datasets. The intern will explore how data-driven methods are used to identify patterns, detect anomalies, and develop predictive insights that enhance understanding of process behaviour. The project emphasises structured learning through advanced analytics, data engineering, and visualisation within a high-volume manufacturing environment. **Objective of the project:** To develop analytical models and data-driven insights that improve understanding of manufacturing processes and support informed decision-making. **Project Scope:** * Perform exploratory data analysis on manufacturing datasets to identify patterns, correlations, and trends * Apply statistical methods such as hypothesis testing and regression analysis to evaluate data * Develop and evaluate machine learning models for predictive analysis and pattern recognition * Explore anomaly detection methods to identify deviations in data * Design basic data workflows for data extraction, preparation, and feature development * Create data visualisations or dashboards to present analytical insights * Document approaches, assumptions, and findings in a structured manner **Learning Opportunities:** * Gain hands-on exposure to large-scale semiconduc

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