Intern, Data Science

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Overview
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
Responsibilities
Project Scope:

• 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.
  

Qualifications

• Graduate student (Master’s preferred) in Data Science, Computer Science, Machine Learning, Applied Mathematics, or a related field.
• Skills and coursework:Python, SQL, Machine Learning, Statistics, Artificial Intelligence, Large Language Models (LLM), NLP, RAG concepts, data preprocessing, exploratory data analysis, cloud-based ML workflows.
• Requirements:
• 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
• Preferred Experience with MS Project, Excel and PowerPoint.
• Ability to decipher technical documents with experience reading engineering drawings. Excellent communication skills both written and spoken.
  

The hourly wage range for this position is $25- $43. The final offer amount may vary and is based on the candidates' year in school. The minimum hourly wage for this role will be the greater of the posted range, or minimum wage for the location where the employee will be working, subject to local minimum wage requirements.
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.
Panasonic is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, and any other characteristic protected by law or company policy. All qualified individuals are required to perform the essential functions of the job with or without reasonable accommodation. Pre-employment drug testing is required for safety sensitive positions or as may otherwise be required by contract or law. Due to the high volume of responses, we will only be able to respond to candidates of interest. All candidates must have valid authorization to work in the U.S. Thank you for your interest in Panasonic Avionics Corporation
REQ-153586
If you have questions about this posting, please contact [email protected]