Data Science Internship

Activate; Houston, Northern (TX, KY); Hybrid; USD 28,000 - 41,000; Full time

Job summary

Fervo Energy is offering a Data Scientist Intern position in Houston to work with our Data Science team on building models and analyses that turn data into decisions across operations, drilling, and commercial teams.

You will explore datasets, prototype predictive models, and translate findings into actionable insights, presenting results to executives and fellow interns at the end of the program.

Qualifications

• Enrolled in Master’s or PhD program and wrapping up within the next year.
• Pursuing a degree in Data Science, Statistics, Computer Science, or related quantitative field.
• Strong written and verbal communication skills; able to present to stakeholders and leadership.
• Eagerness to learn, take initiative, and adapt quickly to new challenges.
• Proficiency in Python and common data science libraries (Pandas, NumPy, Scikit-learn).

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.

Skills

Python

Pandas

NumPy

Scikit-learn

Data visualization

Communication

Education

Master's or PhD candidate

Tools

PyTorch

TensorFlow

SQL

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