Intern, Data Science

Panasonic • Irvine, CA

1d • $25 - $43 • Onsite

About The Position

Data Science Intern- Irvine, CA (100% on-site)
At Panasonic Avionics Corporation, interns play a meaningful role in driving innovation and shaping the future of inflight entertainment. We’re excited to welcome motivated, forward-thinking students to join our growing teams for Summer 2026. Our paid internships run 100% on-site from May/June through August/September, and all candidates must be actively enrolled students during the program.
Who We Are:
Ever wonder who brings the entertainment to your flights? Panasonic Avionics Corporation is #1 in the industry for delivering inflight products such as movies, games, WiFi, and now Bluetooth headphone connectivity!
How exciting would it be to be a part of the innovation that goes into creating technology that delights millions of people in an industry that’s here to stay!
To learn more about internship program visit: https://www.panasonic.aero/internships

Requirements

• Graduate student (Master’s preferred) in Data Science, Computer Science, Machine Learning, Applied Mathematics, or a related field.
• Python, SQL, Machine Learning, Statistics, Artificial Intelligence, Large Language Models (LLM), NLP, RAG concepts, data preprocessing, exploratory data analysis, cloud-based ML workflows.
• Must be able to commute and work on-site 5 days a week.
• Must be currently enrolled as a fulltime student at an accredited four-year college or university
• Applicants must be authorized to work on a full-time basis for any employer in the U.S. We are unable to sponsor or take over sponsorship of any type of employment-based visa at this time.

Nice To Haves

• Experience with MS Project, Excel and PowerPoint.
• Ability to decipher technical documents with experience reading engineering drawings.
• Excellent communication skills both written and spoken.

Responsibilities

• The intern will develop an AI/ML solution to help reduce operations ticket resolution time by about 35% and use LLMs in the PULSE project to identify issues before they reach customers.
• The intern will work on building and testing ML models that help reduce operations ticket resolution time.
• They will also prototype an LLM workflow within the PULSE project to identify issues earlier.
• This includes working with ticket data, logs, and other operational inputs, preparing datasets, testing different model approaches, and building a small RAG-style component for early-issue detection.
• The intern will document their work and support basic integration efforts with the engineering teams.
• They’ll learn how AI and LLMs are applied to real operational problems.
• They’ll work with production datasets, understand how models move from prototype to deployment, and get hands-on experience with building and tuning an LLM/RAG workflow.
• They’ll also get exposure to cross-team collaboration with data engineering and product teams.

What This Job Offers

• Career Level: Intern
• Number of Employees: 1,001-5,000 employees