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Amazon Computer Science Internship Jobs in Houston, TX

Fervo Energy

Data Science Internship

Houston, TX

Description Internship Overview You won't be running coffee orders or shuffling paperwork this ... Pursuing a degree in Data Science, Statistics, Computer Science, or a related quantitative field

Crowe LLP

Machine Learning Intern

Houston, TX · On-site

$27 - $42/hr

DS interns will have a designated data scientist mentor and will spend the majority of their time ... Computer Science Mathematics Natural or Social Sciences Relevant additional backgrounds also ...

Crowe LLP

Machine Learning Intern

The Woodlands, TX · On-site

$27 - $42/hr

DS interns will have a designated data scientist mentor and will spend the majority of their time ... Computer Science Mathematics Natural or Social Sciences Relevant additional backgrounds also ...

Fervo Energy Company

Accounting Internship

Houston, TX · On-site

$15.25 - $19.25/hr

Job Type Internship Description Internship Overview You won't be running coffee orders or shuffling ... Pursuing a degree in Accounting, Finance, MIS, Computer Science, or Data Analytics * Strong written ...

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How much do amazon computer science internship jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for amazon computer science internship in Houston, TX is $24.27, according to ZipRecruiter salary data. Most workers in this role earn between $19.76 and $27.55 per hour, depending on experience, location, and employer.

What is an Amazon computer science internship?

An Amazon Computer Science Internship is a paid, hands-on opportunity for students studying computer science or related fields to gain real-world experience at Amazon. Interns work alongside experienced engineers on impactful projects, often involving software development, systems engineering, or data analysis. The program typically runs for 12-16 weeks during the summer and offers mentorship, networking, and potential pathways to full-time roles. Interns can expect to enhance their technical skills, contribute to innovative solutions, and learn about Amazon’s culture and technologies.

What types of projects do Amazon computer science interns typically work on, and how are they assigned?

Amazon Computer Science Interns are usually assigned to real-world projects that have a tangible impact on the company's products and services. These projects can range from developing scalable web services, improving machine learning models, to optimizing backend systems for performance. Interns are matched with teams based on their skill set, interests, and the needs of the business, ensuring a meaningful learning experience. Collaboration is key: interns work closely with experienced engineers, participate in code reviews, and often present their solutions to stakeholders. This hands-on environment helps interns build both technical and teamwork skills.

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

To thrive as an Amazon Computer Science Intern, you need a solid understanding of computer science fundamentals, programming languages like Java or Python, and currently be enrolled in a relevant degree program. Familiarity with version control systems (e.g., Git), cloud platforms such as AWS, and debugging or development tools is typically expected. Strong problem-solving, teamwork, and effective communication skills help interns collaborate and learn quickly in a fast-paced environment. These abilities enable interns to contribute meaningfully to projects, adapt to Amazon’s dynamic culture, and maximize their learning experience.

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Amazon Computer Science Internship jobs near you
Infographic showing various Amazon Computer Science Internship job openings in Houston, TX as of September 2026, with employment types broken down into 23% Internship, 28% Full Time, 38% Part Time, and 11% Temporary. Highlights an 70% In-person, and 30% Remote job distribution, with an average salary of $50,486 per year, or $24.3 per hour.

Data Science Internship

Houston, TX

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

Full-time, Internship

Posted 9 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 

Apply