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Internship Ocean Data Science Jobs (NOW HIRING)

Fervo Energy

Data Science Internship

Houston, TX · On-site

Description Internship Overview You won't be running coffee orders or shuffling paperwork this ... As a Data Scientist Intern, you'll join Fervo's Data Science team to help build models and analyses ...

Athena LLC

Interns leave with a strong understanding of industry-standard data science practices and potential references for your career.

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Internship Ocean Data Science information

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

As of Sep 9, 2026, the average hourly pay for internship ocean 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 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 cities are hiring for Internship Ocean Data Science jobs?

Cities with the most Internship Ocean Data Science job openings:

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

The most popular types of Ocean Data Science jobs are:

What states have the most Internship Ocean Data Science jobs?

States with the most job openings for Internship Ocean Data Science jobs include:

Internship Ocean Data Science jobs near you

Data Science Internship

Houston, TX • On-site

Fervo Energy
Clean Energy Semiconductors Manufacturing • 11 - 50 employees
Learn more about Fervo Energyexternal

Full-time, Internship

Posted 5 days ago

Job description

Description

Internship Overview 


You won't be running coffee orders or shuffling paperwork this summer. At Fervo, interns are handed something real: a project of your own, scoped with your manager on day one and yours to drive for the full 12 weeks. You'll work side-by-side with the teams building the next generation of geothermal energy, tackling problems that genuinely move the business forward. At the end of the summer, you'll present your work to our executive leadership team, department leads, and fellow interns, sharing real results with a real audience. This is a real seat at the table - and a real shot at what comes next. 


Position Description


Fervo Energy is developing next-generation geothermal power to deliver firm, carbon-free energy at scale, anchored by our flagship Cape Station development in Milford, Utah. As a Data Scientist Intern, you'll join Fervo's Data Science team to help build models and analyses that turn data into decisions across the business. 

You'll work alongside engineers and data scientists to explore datasets, build predictive models, and translate findings into insights that inform real decisions across drilling, operations, and commercial teams. 

Requirements

 Responsibilities 

  • Explore and analyze datasets to identify trends and opportunities 
  • Build and validate predictive models and statistical analyses 
  • Support development of machine learning models for real-world business problems 
  • Communicate findings and recommendations to technical and non-technical stakeholders 

Required Qualifications 

  • Master's or PhD candidate wrapping up within the next year - we're building a pipeline toward full-time offers 
  • Pursuing a degree in Data Science, Statistics, Computer Science, or a related quantitative field 
  • Strong written and verbal communication skills, including comfort presenting to stakeholders and leadership 
  • Eagerness to learn, take initiative, and adapt quickly to new challenges 
  • Proficiency in Python and common data science libraries (e.g., Pandas, NumPy, Scikit-learn) 

Preferred Qualifications 

  • Experience with machine learning frameworks (e.g., PyTorch, TensorFlow) 
  • Familiarity with SQL and data visualization tools 
  • Interest in applying data science to energy or industrial problems 

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