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Summer 2027 - AI & Data Science Intern

onsemi
San Jose, USA
Full-time
Intern
Onsite
Discovered Today

Full Job Posting

Qualifications

  • Qualifications – External Requirements: To be considered for an internship, you must be currently enrolled in a degree seeking program. This position is specifically looking for someone who will be enrolled in Master's Degree in Data Science, Computer Science, Statistics, Mathematics, Analytics, Operations Research, Industrial Engineering, Business Analytics, or a related quantitative field. Here at onsemi we take great pride in our internship program and the efforts we take to provide students with hands-on industry experience. We provide competitive pay medical benefits, various networking event opportunities, and flexible hours based on school schedule.
  • To be considered for an internship, you must be currently enrolled in a degree seeking program. This position is specifically looking for someone who will be enrolled in Master's Degree in Data Science, Computer Science, Statistics, Mathematics, Analytics, Operations Research, Industrial Engineering, Business Analytics, or a related quantitative field.
  • Here at onsemi we take great pride in our internship program and the efforts we take to provide students with hands-on industry experience. We provide competitive pay medical benefits, various networking event opportunities, and flexible hours based on school schedule.

Responsibilities

  • We are seeking a highly motivated Data Science Intern to join our Digital Transformation team. This role offers an opportunity to work on real-world business challenges in supply chain, procurement, logistics, and AI-driven decision support systems.
  • 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.
  • 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.

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