Summer 2027 - AI & Data Science Intern

An internship at onsemi offers a dynamic opportunity to gain hands-on experience through real-world projects that drive innovation in the semiconductor industry. Interns are entrusted with meaningful responsibilities and exposed to cutting-edge technologies, fostering both technical skill development and professional growth.

onsemi views internships as a strategic pipeline for entry-level career positions, providing a collaborative and inclusive environment where interns work alongside diverse teams and contribute to high-impact initiatives. The company’s commitment to sustainability, including its goal of achieving net-zero emissions by 2040, enables interns to engage in projects that align with global environmental priorities.

Key benefits include:

• Competitive compensation and medical benefits
• Flexible work hours aligned with academic schedules
• Access to Employee Resource Groups (ERGs) which foster a sense of belonging and provide opportunities for mentorship and community engagement
• Networking events, professional development workshops, and project showcases that build career readiness and visibility across the organization

Internship roles span multiple disciplines including engineering, business operations, data analytics, and finance, and are designed to align with onsemi’s strategic goals of innovation and workforce development. Structured programs such as rotational field sales and finance analyst tracks offer additional career pathways for interns transitioning into full-time roles.

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.

Qualifications