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Applied Materials

Builds equipment for chip and display factories

College Intern - AI-Driven Subtier Supplier Risk & Capacity Visibility Dashboard

Data Science +1Confirmed live in the last 24 hours
InternshipSingaporeNo salary listed

About the Job

Requirements

  • Knowledge or experience in business analytics or supply chain analytics is preferred.
  • Experience with Power BI dashboard development and data modeling is required.
  • Python, SQL, or data engineering fundamentals are required.
  • Machine learning or predictive analytics skills are required.
  • Data visualization and storytelling skills are required.
  • Strong problem-solving skills and stakeholder communication skills are required.

Responsibilities

  • Develop a data-driven solution to improve visibility into supply chain subtier capacity, forecast demand, and potential single-point-of-failure risks.
  • Integrate supplier, subtier, forecast, and capacity data into a centralized Power BI dashboard enhanced with AI and machine-learning predictive models to identify potential delivery gaps before they affect production.
  • Analyze demand trends, supplier capacity constraints, geographical dependencies, and sourcing concentration to provide early-warning indicators and actionable insights for the Supplier Account Management team.
  • Use better forecasting and scenario analysis to help prevent subtier shortages and improve proactive risk mitigation.
  • Apply business analytics techniques to real-world supply chain challenges.
  • Build end-to-end Power BI solutions using multiple data sources.
  • Develop predictive models for forecasting supply chain risks and capacity constraints.
  • Understand multi-tier supply chain structures, supplier risk management, and resilience strategies.
  • Generate actionable insights that support proactive decision-making and risk mitigation.
  • Gain practical experience in AI-enabled supply chain planning and digital transformation initiatives.

Desired Qualifications

  • Business analytics or supply chain analytics.

About the Company

Applied Materials

Builds equipment for chip and display factories

Applied Materials designs and builds precision machines that chipmakers and display manufacturers use to form, shape and inspect thin layers of material. Its platforms handle steps such as depositing films and removing unwanted material, helping chipmakers create transistors and wiring at atomic scale. Customers include makers of logic chips and memory, as well as manufacturers of advanced displays. The company earns money from equipment sales, replacement parts and services, and factory software that schedules production and monitors manufacturing processes. Applied Materials was founded in 1967 and is headquartered in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1967

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