College Intern

Applied Materials
Singapore
Workplace: OnsiteInternshipFunction: Healthcare (Clinical, Medical, Wellness)Skills: ["Problem-solving","Stakeholder communication","Data visualization","Storytelling"]

Develop a data-driven solution to improve supply chain subtier capacity visibility, forecast demand, and identify single-point-of-failure risks. Build an end-to-end Power BI dashboard integrating supplier, subtier, forecast, and capacity data, then enhance it with AI/ML predictive models for early warning of delivery gaps. Deliver actionable insights for supplier account management through analysis of demand trends, capacity constraints, geographic dependencies, and sourcing concentration.

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FursaFursa
Applied Materials
Applied Materials
2 days ago

College Intern

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Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Develop a data-driven solution to improve supply chain subtier capacity visibility, forecast demand, and identify single-point-of-failure risks. Build an end-to-end Power BI dashboard integrating supplier, subtier, forecast, and capacity data, then enhance it with AI/ML predictive models for early warning of delivery gaps. Deliver actionable insights for supplier account management through analysis of demand trends, capacity constraints, geographic dependencies, and sourcing concentration.
Location: Singapore
Workplace: Onsite
Employment Type: Internship
Job Function: Healthcare (Clinical, Medical, Wellness)
Seniority: Intern level

Key Responsibilities

  • •Develop a data-driven solution for subtier capacity visibility, demand forecasting, and SPOF risk identification.
  • •Integrate supplier, subtier, forecast, and capacity data into a centralized Power BI dashboard.
  • •Apply AI/ML predictive models to identify potential delivery gaps before they impact production.
  • •Analyze demand trends, supplier capacity constraints, geographic dependencies, and sourcing concentration.
  • •Provide actionable early-warning indicators and insights to support proactive risk mitigation and scenario analysis for Supplier Account Management.

Key Requirements

  • •Preferred discipline in Business Analytics / Supply Chain Analytics.
  • •Power BI dashboard development and data modeling.
  • •Python, SQL, or data engineering fundamentals.
  • •Machine Learning / predictive analytics for forecasting supply chain risks and capacity constraints.
  • •Data visualization and storytelling, with strong problem-solving and stakeholder communication skills.
Skills:Problem-solvingStakeholder communicationData visualizationStorytelling
Tech Stack:Power BIPythonSQLMachine LearningAI/MLC++

Company Brief

Applied Materials
Provides semiconductor manufacturing equipment, services, and software used to build advanced chips and display technologies. Its tools support materials engineering, deposition, etching, inspection, and process control for major electronics manufacturers worldwide.
Industry: Industrial Machinery
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1967
Glassdoor
Glassdoor: 3.9
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