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Data Science Intern Jobs in Tennessee (NOW HIRING)

Job Title: Computer Science Intern Location: Knoxville, TN | Full-Time, Summer 2026 Company ... Contribute to UI improvements for usability and reproducibility in scientific data workflows.

Job Title: Computer Science Intern Location: Knoxville, TN | Full-Time, Summer 2026 Company ... Contribute to UI improvements for usability and reproducibility in scientific data workflows.

Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills ...

Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills ...

Associate Director, Data Science

Knoxville, TN · On-site

$56.30K - $56.80K/yr

This role is foundational to leading our Data Science Team, which partners with our Analytics, Media, and Data-Ops Teams to realize the vision of offering best in class marketing science for our ...

Bachelor's degree in Data Science, Computer Science, Statistics, Biostatistics, or a related quantitative field * 5+ years of hands-on experience in data science, including building and deploying ...

Bachelor's degree in Data Science, Computer Science, Statistics, Biostatistics, or a related quantitative field * 5+ years of hands-on experience in data science, including building and deploying ...

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Data Science Intern information

See Tennessee salary details

$10

$20

$38

How much do data science intern jobs pay per hour?

As of May 28, 2026, the average hourly pay for data science intern in Tennessee is $20.43, according to ZipRecruiter salary data. Most workers in this role earn between $15.72 and $22.26 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Science Intern, and why are they important?

To thrive as a Data Science Intern, you need a solid grasp of statistics, data analysis, and programming (often in Python or R), typically supported by coursework in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn or TensorFlow), and version control systems (like Git) is commonly expected. Strong problem-solving abilities, communication skills, and a willingness to learn help interns collaborate effectively and translate data insights for diverse audiences. These skills and qualities ensure that interns can contribute meaningfully to projects, adapt quickly, and bridge the gap between raw data and actionable business solutions.

What types of projects can I expect to work on as a Data Science Intern, and how will I collaborate with other team members?

As a Data Science Intern, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or assisting with data visualization tasks. You'll often collaborate closely with data scientists, engineers, and sometimes business analysts, participating in team meetings and brainstorming sessions. Interns are usually given clearly defined tasks that contribute to larger projects, allowing you to learn from experienced professionals while making a meaningful impact. Regular check-ins and mentorship are typical, providing you with feedback and professional growth opportunities throughout your internship.

What does a Data Science Intern do?

A Data Science Intern typically assists with collecting, cleaning, and analyzing data to support business decisions or research. They work under the supervision of experienced data scientists, helping to build and test predictive models, create data visualizations, and present findings. Interns often use programming languages such as Python or R, and tools like SQL, to manipulate data. The role is designed to provide hands-on experience with real-world data science projects and help interns develop technical and analytical skills.
What are the most commonly searched types of Data Science jobs in Tennessee? The most popular types of Data Science jobs in Tennessee are:
What cities in Tennessee are hiring for Data Science Intern jobs? Cities in Tennessee with the most Data Science Intern job openings:
Infographic showing various Data Science Intern job openings in Tennessee as of May 2026, with employment types broken down into 38% Internship, 46% Full Time, 8% Part Time, and 8% Contract. Highlights an 69% In-person, 8% Hybrid, and 23% Remote job distribution, with an average salary of $42,485 per year, or $20.4 per hour.

Computer Science Intern

SkyNano

Knoxville, TN

Other

Posted 14 days ago


Job description

Job Title: Computer Science Intern

Location: Knoxville, TN | Full-Time, Summer 2026

Company: SkyNano LLC

About SkyNano

SkyNano is a fast-growing startup transforming carbon emissions into value. We've developed and patented an electrochemical process to convert CO into high-performance carbon nanotubes (CNTs) and battery-grade graphite, unlocking new possibilities for advanced materials while solving urgent industrial challenges. As we scale our technology from pilot to commercial manufacturing, we are building a world-class team of engineers, scientists, and builders motivated by deep technical challenges and real-world impact.

At SkyNano, you'll find a mission-driven culture that values creativity, rigorous engineering, cross-disciplinary collaboration, and continuous learning. Your work will directly contribute to scaling a first-of-a-kind, high-temperature electrochemical manufacturing platform.

Position Summary

We are seeking a full-time Computer Science Intern to join our team for the Summer of 2026 in our Knoxville, Tennessee facility. The intern's primary project will be the development of a semi-automated image analysis tool for carbon processing from scanning electron microscopy (SEM) images.

Key Responsibilities:

  • Assist in developing and refining a Python-based GUI using PyQt5 and OpenCV.
  • Support integration of analysis features and image segmentation tools.
  • Help test and debug new functionality across different image sets.
  • Contribute to UI improvements for usability and reproducibility in scientific data workflows.

Background coding Knowledge:

  • Python is required, C++ is a bonus to understand the API's.
  • Knowledge of PyQt5 or other GUI frameworks is strongly preferred.
  • OpenCV for image processing is strongly preferred.
  • Familiarity with NumPy and Matplotlib.
  • Familiar with understanding image segmentation, masking, or broad image analysis.

Course Requirements/Level of expertise: Junior level and above.

Other Requirements: Must be a U.S. Citizen.