Intern, Health Services (Corporate)

Are you ready to set sail on an exceptional career journey? Carnival is thrilled to announce openings for our 2025 Co-Op Program—a unique opportunity to make waves in your professional life.

Position: Summer Health Informatics Co-Op
Location: Hybrid in Miami, Florida
Dates: May 15th – November 15th, 2025
Compensation: Competitive hourly wage provided

About Us:
Carnival is a global leader in the cruise industry, renowned for delivering unforgettable experiences at sea. Our Co-Op Program is your ticket to join us in our Miami, Florida headquarters with a hybrid work schedule. This is an exciting opportunity to dive into the dynamic world of cruising.

Key Details:

• Hybrid Program: This co-op opportunity is a hybrid program based in Miami, Florida. Students must be available for the entire duration of the program and willing to work a hybrid schedule, combining both in-office and remote work. This is a full-time opportunity, with co-op students working 40 hours per week. While hours may vary, students can expect to work from 9 AM to 5 PM, Monday through Friday.
• Eligibility: Juniors, seniors, and graduate students are preferred for the program.
• Technical Requirements: Interns will be provided with a company-issued laptop and will need reliable internet when working remotely.

Application Information:

• Required Materials: Please submit a resume as part of your application. Applicants should stay on top of their tasks, including interview invites and follow-up emails, to progress through the hiring process.
• Application Deadline: Applications will remain open until March 7th, 2025.
• Interview Process: Selected applicants will complete a HireVue recorded video interview and a virtual interview.

Diversity and Inclusion:
Carnival is committed to creating a diverse and inclusive environment. We encourage applications from all qualified individuals, regardless of background.

Project Introduction

Carnival Corporation is excited to announce a unique opportunity for Northeastern students to join our Health Services team as part of a workplace cohort program. This program will focus on health informatics and healthcare data analysis and modeling. Participants will engage in the entire data analysis process, from correctly gathering data, exploring and analyzing it, to transforming data and applying statistical modeling and machine learning to generate insights. Additionally, participants will create reports and visualizations to answer questions and provide insights that inform policy decisions. 
Carnival operates over 100 vessels, each equipped with medical centers staffed by physicians, nurses, and other healthcare professionals, serving over 12,000,000 people annually worldwide. Facilities onboard include ICUs, Radiology, Point of Care testing and can perform many Emergency Medicine and Primary Care Level Services.

Expected Learning Opportunities

The successful candidate will have the opportunity to learn and gain experience in the health informatics process:

1. Understand the Full Data Analysis Process:
   1. Learn to gather and define the needs of data analysis projects.
   2. Participate in data collection from various sources.
   3. Engage in data cleaning and exploration to ensure data quality and integrity.
2. Data Transformation and Statistical Modeling:
   1. Gain experience in transforming data for analysis.
   2. Apply statistical modeling techniques, including linear regression, to interpret data and generate insights.
   3. Be able to validate statistical models
3. Machine Learning:
   1. Explore and implement machine learning algorithms to enhance data analysis capabilities.
   2. Utilize tools such as Keras / Tensofrlow for developing and training machine learning models.
   3. Be able to apply and validate machine learning models
4. Technical Skills Development:
   1. Work with Python libraries such as Pandas and NumPy for data manipulation and analysis.
   2. Use SQL for database querying and management.
   3. Apply Excel for data organization and preliminary analysis.
5. Data Visualization and Reporting: