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Freelance Data Science Internships Jobs (NOW HIRING)

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 ...

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

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How much do freelance data science internships jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for freelance data science internships in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

What is the difference between Freelance Data Science Internships vs Data Science Interns?

AspectFreelance Data Science InternshipsData Science Interns
Work EnvironmentRemote or flexible, project-basedTypically in-office or remote, structured internship programs
CredentialsOften students or early-career, no formal certification requiredStudents or recent graduates, may have coursework or certifications
Employer & Industry UsageFreelance platforms, startups, consulting firmsCompanies, universities, tech firms offering structured internships
Search & Comparison IntentLooking for flexible, project-based opportunitiesSeeking structured internship programs for experience

Freelance Data Science Internships offer flexible, project-based work often found on freelance platforms, suitable for early-career individuals seeking diverse experiences. Data Science Interns typically participate in structured programs within companies or universities, focusing on gaining industry-specific skills through formal internships.

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Infographic showing various Freelance Data Science Internships job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Data Science Internship

Houston, TX

Fervo Energy
Clean Energy Semiconductors Manufacturing • 11 - 50 employees

Full-time, Internship

Posted 10 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