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Internship Ocean Data Science Jobs in Virginia (NOW HIRING)

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Internship Ocean Data Science information

What is an internship in ocean data science?

An Internship in Ocean Data Science is a temporary position designed for students or early-career professionals to gain practical experience in analyzing and interpreting data related to the ocean. Interns typically work alongside scientists and researchers to collect, process, and visualize oceanographic data, often using programming languages like Python or R. These internships can involve tasks such as data cleaning, statistical analysis, working with remote sensing data, or developing tools to better understand marine environments. The experience helps interns build technical skills and gain insights into careers in marine science and data analysis.

What types of projects or tasks can I expect to work on during an ocean data science internship?

As an Ocean Data Science intern, you will likely work on projects involving the collection, processing, and analysis of oceanographic data, such as temperature, salinity, and current measurements. Tasks may include data cleaning, visualization, and using programming languages like Python or R to analyze large datasets. Interns often collaborate with experienced scientists and engineers, contributing to real-world research or conservation initiatives. The work environment is typically team-oriented, with opportunities to learn from interdisciplinary experts and gain hands-on experience with cutting-edge technologies.

What are the key skills and qualifications needed to thrive as an ocean data science intern, and why are they important?

To thrive as an Ocean Data Science Intern, you need a solid background in oceanography, statistics, and programming (typically Python or R), usually supported by coursework or a related degree. Familiarity with data analysis tools, geospatial software (like ArcGIS or QGIS), and data visualization platforms is commonly required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret complex data and collaborate with multidisciplinary teams. These competencies are vital for extracting meaningful insights from ocean datasets and contributing to research or applied projects.

What is the difference between Internship Ocean Data Science vs Ocean Data Analyst?

AspectInternship Ocean Data ScienceOcean Data Analyst
Required CredentialsCurrently enrolled in or recent graduate in oceanography, data science, or related fieldsBachelor's or master's in oceanography, data analysis, or related disciplines
Work EnvironmentInternship programs, often in research institutions or environmental agenciesFull-time roles in research centers, government agencies, or private companies
Employer & Industry UsageUsed by organizations offering training or entry-level positions in ocean data scienceCommonly employed in data analysis, research, and environmental monitoring roles

Internship Ocean Data Science typically involves entry-level training and project work for students or recent graduates, focusing on gaining practical skills. Ocean Data Analysts are experienced professionals performing data interpretation, reporting, and decision support in ocean-related industries. The internship is a stepping stone, while the analyst role requires more expertise and experience.

What are the most commonly searched types of Ocean Data Science jobs in Virginia?

The most popular types of Ocean Data Science jobs in Virginia are:

What cities in Virginia are hiring for Internship Ocean Data Science jobs?

Cities in Virginia with the most Internship Ocean Data Science job openings:

Internship Ocean Data Science jobs near you

Intern - Year Round (Data Scientist)

Navy Federal Credit Union

Vienna, VA • On-site

Full-time

Posted 6 days ago

Navy Federal Credit Union rating

8.1

Company rating: 8.1 out of 10

Based on 275 frontline employees who took The Breakroom Quiz

61st of 150 rated financial services

Job description

The Data Scientist Intern supports advanced analytics and predictive modeling that informs member growth, market potential, and branch network strategy. This role applies statistical, machine learning, and spatial analytics techniques to large enterprise datasets to identify patterns, forecast demand, and generate actionable insights for strategic planning.

The intern works closely with principal data scientists and geospatial analysts to develop models and analytical frameworks that enhance location intelligence, behavioral analytics, member insights, and market opportunity assessment.

****A requirement of this position is you must be currently enrolled in college level courses or a degree-seeking program throughout the duration of the internship. Please upload your transcripts by clicking the "Attach Cover Letter" button during your application.
 

Navy Federal provides much more than a job. We provide a meaningful career experience, including a culture that is energized, engaged and committed; and fierce appreciation for our teams, who are rewarded with highly competitive pay and generous benefits and perks.

Our approach to careers is simple yet powerful: Make our mission your passion.

  • FORTUNE 100 Best Companies to Work For 2025
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  • Military Times 2025 Best for Vets Employers
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  • 2025 RippleMatch Campus Forward Award Winner for Overall Excellence 
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  • 2025 Handshake Early Talent Award

From Fortune. 2025 Fortune Media IP Limited. All rights reserved. Used under license. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of, Navy Federal Credit Union.

Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to age, race, sex, color, religion, national origin, disability, veteran status, pregnancy, sexual orientation, genetic information, gender identity or any other basis protected by applicable law.

Accommodations: If you need accommodation or assistance for a qualifying condition to complete the online application (or during any stage of the hiring process), you can contact Navy Federal's Medical Accommodations team at medicalaccommodations@navyfederal.org or by calling 1-888-503-6013. This team cannot provide any information on job postings or application status.

Disclaimers: Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team's discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position. For additional details regarding compensation and benefits, review the Benefits page of the Navy Federal Career Site.

Protect Yourself from Job Scams: Navy Federal Credit Union jobs are posted on our career site, jobs.navyfederal.org and reputable job boards (e.g., LinkedIn, Indeed). We do not post jobs on social media marketplaces, messaging apps or unverified websites. We will never ask candidates for payment, bank details or personal financial information during the hiring process.

Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.

  • Currently pursuing a graduate degree (MS or PhD) in Data Science, Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related quantitative field
  • Strong foundation in statistics, probability, and predictive modeling
  • Proficiency in Python or R for data analysis and modeling
  • Experience working with large datasets using SQL or similar tools
  • Demonstrated ability to structure and analyze complex, real-world data problems
  • Strong analytical reasoning and problem-solving skills
  • Ability to communicate technical concepts clearly
  • Curiosity, initiative, and ability to learn quickly in an applied business environment 

Desired Qualifications

  • Experience with machine learning or predictive modeling projects
  • Experience with spatial, geographic, or demographic data
  • Familiarity with ETL processes and data preparation workflows
  • Experience with Alteryx and/or ArcGIS
  • Experience with feature engineering and model evaluation techniques
  • Experience with Databricks, Spark, or cloud data environments
  • Interest in applied analytics for market strategy, location intelligence, or growth analytics 

Hours: 

  • Monday - Friday, 8:00AM - 4:30PM  (Part-Time at least 20 hrs/week), scheduling based around school schedule

Location:

  • 820 Follin Lane SE Vienna, VA 22180
  • 5550 Heritage Oaks Dr Pensacola, FL 32526
  • Develop and evaluate predictive models to estimate member growth, market potential, and branch demand
  • Apply statistical and machine learning techniques to identify drivers of member acquisition and engagement, member and market behavior, and value of a market
  • Support model validation, performance assessment, and documentation
  • Analyze member demographic, behavioral, and geographic data to generate market insights
  • Contribute to market sizing, segmentation, and opportunity analyses
  • Support development of demand and growth forecasting methodologies
  • Collaborate with GIS analysts to incorporate geographic features into predictive models
  • Engineer spatial and demographic features for modeling and analysis
  • Support analyses linking member behavior and geography to branch strategy
  • Extract, clean, and integrate large datasets from enterprise data platforms (SQL, Databricks, etc.)
  • Build reproducible data pipelines and modeling datasets
  • Ensure data quality and documentation for analytical workflows
  • Summarize analytical findings and model outputs for technical and business audiences
  • Contribute to presentations, visualizations, and analytical documentation
  • Translate quantitative results into clear business implications 
  • Perform other duties as assigned

What Navy Federal Credit Union employees say

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Benefits

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About Navy Federal Credit Union

Sourced by ZipRecruiter

Navy Federal Credit Union, based in Vienna, Virginia, United States, is a significant player in the financial services industry. Their official website is navyfederal.org. With its roots dating back to 1933, it was initially established to provide credit to Navy members. Over the years, Navy Federal has magnified its scope, evolving into a full-service credit union serving all branches of the military, the Department of Defense, veterans, and their families. The company’s core values include integrity, service, education, and leadership. Navy Federal aims to be the most preferred and trusted financial institution serving the military and their families.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Vienna, VA, US

Year founded

1933

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