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Data Science Intern

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Data Science Intern- Irvine, CA (Hybrid Position)

*must be enrolled in school at the time of summer internship to be considered

Panasonic Avionics Corporation is seeking motivated Interns to join our growing Data Engineering team in our Irvine, CA office for a 12-week program from May-August 2025. The anticipated outcomes include refined content personalization, improved passenger satisfaction, and optimized inflight entertainment offerings. By leveraging data analytics and machine learning, we aim to enhance customer experiences, resulting in increased engagement, higher customer retention, and potentially new revenue streams. The intern's contributions will play a pivotal role in refining our strategies, leading to data-informed decisions that positively impact the business, improving overall service quality and customer satisfaction metrics.

Responsibilities

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! With our company's history spanning over 40 years, you will have stability, career growth opportunities, and will work with the brightest minds in the industry. And we are committed to a diverse and inclusive culture that will help our organization thrive! We seek diversity in many areas such as background, culture, gender, ways of thinking, skills and more.

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.

To be considered, please attach a resume and a cover letter detailing your interest in joining our PAC team. Incomplete applications will not be considered.

Qualifications

How you will spend your summer:
  • Interns in our Data, Analytics, and Personalization team will actively contribute to real-world projects involving inflight entertainment and connectivity. They'll assist in data analysis, support machine learning initiatives, and aid in personalization strategies.
  • Projects may include refining content recommendation systems, analyzing passenger preferences, and exploring innovative ways to enhance the overall inflight experience.
  • Interns will gain hands-on experience in data-driven decision-making, leveraging diverse datasets, and collaborating within a dynamic, technology-focused environment.

Qualifications:

  • The Intern will develop AI/ML Based solution to help resolve operations tickets resolution time by 35%.
  • Use LLM in PULSE project to identify issues before customer
  • Undergraduate, Python, SQL, Data Science, Machine Learning, Artificial Intelligence, LLM (Large Language Models), Statistics.

  • Must be able to commute to Irvine, CA office 3 times a week

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-147700
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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