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Panasonic Avionics Corporation · 13 hours ago

Intern, Data Science

Irvine, CA

Internship

Onsite

Intern

$25/hr - $43/hr

Start in 2026 Spring

Panasonic Avionics Corporation is a leader in inflight entertainment technology, and they are seeking a Data Science Intern to contribute to innovative solutions. The intern will develop AI/ML solutions to improve operational efficiency and gain hands-on experience with model deployment and cross-team collaboration.

Consumer ElectronicsInformation TechnologyManufacturingTelecommunications

No H1B

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

Qualification

Machine LearningPythonLarge Language Models (LLM)SQLArtificial IntelligenceNLPStatisticsData preprocessingExploratory data analysisCloud-based ML workflowsRAG conceptsCommunication skills

Required

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

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

Ability to decipher technical documents with experience reading engineering drawings

Excellent communication skills both written and spoken

Applicants must be authorized to work on a full-time basis for any employer in the U.S