Intern
Semiconductor Manufacturing
Intern-AI/DataScience
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optimal for Entry candidates.
“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.
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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