About The Position

The AI & Data Science Intern will join onsemi’s Digital Transformation team to work on real-world business challenges in supply chain, procurement, logistics, and AI-driven decision support. The intern will collaborate with data scientists, business stakeholders, and technology teams to develop analytical solutions, build data models, and support AI initiatives that improve operational efficiency and business outcomes. The internship offers hands-on experience through meaningful projects and exposure to semiconductor-industry technologies. onsemi describes its internship program as a collaborative, inclusive environment intended to support technical and professional growth. The company’s sustainability goal of achieving net-zero emissions by 2040 may provide opportunities to contribute to projects aligned with environmental priorities.

Requirements

  • Currently enrolled in a degree-seeking program.
  • Will be enrolled in a master's degree program in Data Science, Computer Science, Statistics, Mathematics, Analytics, Operations Research, Industrial Engineering, Business Analytics, or a related quantitative field.

Responsibilities

  • Analyze large datasets to identify trends, patterns, and business insights.
  • Develop and validate machine learning and statistical models.
  • Build data pipelines and support data engineering activities.
  • Design and create dashboards and visualizations to communicate key findings.
  • Work with structured and unstructured data from enterprise systems.
  • Support AI and GenAI initiatives, including agentic workflows and intelligent decision-support solutions.
  • Assist in graph data modeling and knowledge graph development for supply chain and logistics use cases.
  • Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.
  • Document methodologies, assumptions, findings, and recommendations.
  • Present project results and recommendations to technical and business stakeholders.

Benefits

  • Competitive compensation or pay.
  • Medical benefits.
  • Flexible work hours aligned with academic schedules.
  • Access to Employee Resource Groups (ERGs), mentorship, and community engagement opportunities.
  • Networking events, professional development workshops, and project showcases.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service