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Internship Marine Data Science Jobs (NOW HIRING)

FocusKPI Inc.

Data Science Intern

Boston, MA · On-site +1

Data Science Intern Statistical Modeling & Marketing Measurement Remote | Internship | Full-time | 3 months About the Role We are looking for a curious and analytically minded Data Science Intern to ...

FocusKPI Inc.

Data Science Intern

Boston, MA · Remote

Data Science Intern Statistical Modeling & Marketing Measurement Remote | Internship | Full-time | 3 months About the Role We are looking for a curious and analytically minded Data Science Intern to ...

MHI

Data Science Internship (Governance)

Lake Mary, FL · On-site

Data Science Associate (Governance) Company Overview At Mitsubishi Power, we're not just building better clean energy technologies; we're architecting a better future. Our team is boldly redefining ...

Think Tank, Inc.

Data Entry Clerk/ QA Analyst

Miami, FL · On-site

Associate's or Bachelor's degree in Marine Science, Environmental Science, Computer Science, or a related field.Experience with NOAA or other federal scientific data systems.Familiarity with fishery ...

AstraZeneca

Scientist, Data Science

Waltham, MA · On-site

$91K - $136K/yr

The successful candidate will leverage their data science expertise in mining large datasets to ... Prior experience or internship in the pharmaceutical or biotechnology industry. * Prior experience ...

NCSU

Lecturer of Data Science

Raleigh, NC · On-site

$4.0K/wk

The Data Science and AI Academy's goal is to network and catalyze data science across all three ... Data Internships Preparation for Social Impact * Exploring Machine Learning Appointments will be ...

NCSU

Lecturer of Data Science

Raleigh, NC · On-site

$4.0K/wk

The Data Science and AI Academy's goal is to network and catalyze data science across all three ... Data Internships Preparation for Social Impact * Exploring Machine Learning Appointments will be ...

US Venture, Inc.

Data Science Intern

Appleton, WI · On-site

Venture Data and Analytics team as a Data Science Intern for Summer 2027! U.S ... Venture's Internship Program runs May - August 2027. Dates may vary based on individual class ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$121K - $154K/yr

... internships, or research projects). * Demonstrated experience developing generative AI solutions ... Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a ...

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Internship Marine Data Science information

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How much do internship marine data science jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for internship marine data science in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What is an internship in Marine Data Science?

An Internship in Marine Data Science is a temporary position, usually aimed at students or recent graduates, that provides hands-on experience in analyzing and interpreting data related to marine environments. Interns may work with oceanographic datasets, develop models to study marine ecosystems, or use data visualization tools to communicate findings. This role helps interns develop technical skills in programming, statistics, and marine science, while also gaining a better understanding of real-world applications in research, conservation, or industry. Internships can be offered by universities, research institutes, government agencies, or private companies involved in marine science.

What types of projects and collaborations can an intern in Marine Data Science expect to work on during their internship?

As a Marine Data Science intern, you will typically work on projects involving the collection, analysis, and visualization of oceanographic or environmental datasets. These projects often require collaboration with marine biologists, oceanographers, and data engineers, allowing you to contribute to multidisciplinary teams addressing real-world marine challenges. Expect to participate in tasks such as processing satellite data, developing predictive models, or creating data dashboards. This hands-on experience helps interns build both technical and scientific communication skills, while gaining insight into the workflow of marine research organizations.

What are the key skills and qualifications needed to thrive as an internship in Marine Data Science, and why are they important?

To thrive as an Internship Marine Data Science, you generally need a background in marine science, mathematics, or data science, with proficiency in statistical analysis and data interpretation. Familiarity with programming languages like Python or R, GIS software, and experience handling large datasets are commonly required, and coursework or certifications in these areas are beneficial. Strong analytical thinking, attention to detail, and effective communication skills help interns stand out when collaborating with multidisciplinary teams and presenting findings. These skills ensure accurate data analysis, meaningful insights, and successful contributions to marine research projects.

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

AspectInternship Marine Data ScienceMarine Data Analyst
Required CredentialsTypically pursuing or recent graduate in Marine Science, Data Science, or related fieldsBachelor's or Master's in Marine Science, Data Analysis, or related disciplines
Work EnvironmentInternship programs, research labs, marine research vessels, environmental agenciesEnvironmental agencies, research institutions, maritime companies, consulting firms
Employer & Industry UsageEntry-level, training-focused, often part of academic or research projectsFull-time or part-time roles, applied data analysis in marine contexts

Internship Marine Data Science is an entry-level, training-focused position for students or recent graduates gaining practical experience. Marine Data Analysts are more experienced professionals performing ongoing data analysis tasks in marine industries. The internship provides foundational skills, while the analyst role involves applying those skills in real-world projects.

How to become an internship marine data science?

To become an intern in marine data science, candidates typically need a background in marine science, data analysis, or related fields, along with skills in programming languages like Python or R and experience with data visualization tools. Gaining relevant experience through coursework, projects, or certifications in data science and marine environments can improve prospects. Applying to internships through university programs, research institutions, or environmental organizations is also common.
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Internship Marine Data Science jobs near you
Infographic showing various Internship Marine Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

2026 Internship, Fall - Data Science

Red Bull

Morristown, NJ • On-site

Internship

This job post has expired today. Applications are no longer accepted.

Red Bull rating

7.7

Company rating: 7.7 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

17th of 52 rated marketing agency

Job description

Red Bull New York ("RBNY") are one of 30 teams in Major League Soccer (MLS) and one of the league's ten original charter clubs. Founded in 1996, RBNY has competed in MLS since its inception. RBNY's First Team plays its home matches at Sports Illustrated Stadium in Harrison, New Jersey and its Second Team plays its home matches at Montclair State University. RBNY are owned by the Austrian beverage company Red Bull GmbH, after which the team is named.

RBNY's First Team is a three-time MLS Supporters' Shield winner and a two-time Conference Champion, while the Second Team is the 2025 MLS NEXT Pro Champion. RBNY also operates one of the nation's premier youth soccer development programs, spanning local partnerships across New York and New Jersey. RBNY's Academy is ranked among the top development organizations in the country.

Purpose of this Internship

During your time interning at the New York Red Bulls, you will learn how to apply your knowledge of data science, computer science, and mathematics to help multiple facets of a professional soccer team. You will assist multiple departments - including scouting, match analysis, and player development while aiding various processes including data cleaning, databasing, and software building.

This is an unpaid, for credit internship (proof that you will receive credit is required).

RESPONSIBILITIES Areas that play to your strengths

All the responsibilities we'll trust you with:

  • Communication skills in an elite sporting environment
  • Ability to foster a data-driven culture
  • How to create new Key Performance Indicators across a multitude of different departments
  • How to create algorithms and processes in an elite sporting environment

The New York Red Bulls are one of 30 Major League Soccer (MLS) teams. RBNY, one of the ten charter clubs of MLS, has competed in the league since its founding in 1996. The Red Bulls play home matches at Red Bull Arena (RBA) in Harrison, New Jersey. The three-time MLS Supporters' Shield Winners are owned by the Austrian beverage company Red Bull, for which the team is named. The New York Red Bulls offer one of the nation's premier youth soccer development programs, from local soccer partnerships across New York and New Jersey to Regional Development Schools and the Red Bulls Academy teams.

EXPERIENCE Your areas of knowledge and expertise

that matter most for this role:

  • Proficient in R / SQL
  • Proficient in Microsoft Office Suite
  • Experience with Web Scraping
  • Excellent Communicator
  • In a Mathematics, Data Science, or Computer Science Program
  • Temporary

JOIN THE TEAM Got what it takes?

In your application we want to see your personal style - what makes you tick and why you think your next opportunity is here with us.

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