1

Data Science Intern Jobs in Jones, OK (NOW HIRING)

Validate Alignment of Data and Integration requirements * Validate test scenarios mapping to ... Currently enrolled in a Degree of Computer Science, System Engineering or related field

Power BI Intern

Norman, OK · On-site

$15/hr

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

Power BI Intern

Edmond, OK · On-site

$15/hr

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

Showing results 21-40

Data Science Intern information

See Jones, OK salary details

$11

$22

$41

How much do data science intern jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for data science intern in Jones, OK is $22.31, according to ZipRecruiter salary data. Most workers in this role earn between $17.16 and $24.33 per hour, depending on experience, location, and employer.

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 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 cities near Jones, OK are hiring for Data Science Intern jobs? Cities near Jones, OK with the most Data Science Intern job openings:
Infographic showing various Data Science Intern job openings in Jones, OK as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $46,397 per year, or $22.3 per hour.

AI Flight Optimization Engineering Intern

Skydweller

Oklahoma City, OK

$15.50 - $20/hr

Part-time, Internship

Posted 21 days ago


Job description

About Skydweller

Skydweller is developing the world's largest autonomous solar-powered aircraft, designed to provide persistent, long-duration flight capabilities for defense, and commercial missions. Our aircraft combines advanced aerospace engineering, autonomy, renewable energy technologies, and artificial intelligence to enable next-generation aviation capabilities.

Skydweller's engineering and flight-test programs generate significant volumes of aircraft telemetry, environmental data, and mission information. We are applying emerging AI technologies to transform this data into actionable insights that improve aircraft performance, operational efficiency, and mission planning.


About the Role

Skydweller is seeking an intern to support the development of an Agentic AI system dedicated to flight operations and optimization for long-endurance unmanned aircraft systems (UAS).

The intern will work alongside experienced aerospace, software, and AI engineers to design and prototype an Agentic AI system capable of analyzing flight-test telemetry, weather data, and mission constraints to generate recommendations that improve endurance, energy efficiency, and aircraft performance.

The intern will participate in a structured, mentored R&D experience progressing from AI fundamentals through implementation and validation of a functional prototype supporting Skydweller's flight optimization efforts.


Why Join Skydweller?

This internship provides a unique opportunity to work on advanced aerospace technology while helping define the future of AI-assisted engineering.

Unlike traditional AI projects focused on generic applications, this role applies emerging AI technologies to a real-world autonomous aircraft program. The intern will contribute directly to the development of tools that improve aircraft endurance, mission effectiveness, and engineering decision-making.

Successful candidates will gain experience at the intersection of artificial intelligence, aerospace engineering, and autonomous systems, while working with an experienced team developing next-generation aviation capabilities.



Student Requirements

  • Interns must be currently enrolled undergraduate or graduate students at an Oklahoma college/university, or CareerTech students concurrently enrolled in college-level coursework
  • Due to the nature of the work, the intern needs to be a U.S. Person (US Citizen/Green Card holder)

Qualifications

  • Graduate or upper-level undergraduate student in Computer Science, Aerospace Engineering, or related field
  • Proven experience with Python programming
  • Prior participation in R&D projects, especially in the fields of AI-agent, Aerospace, or Meteorology, is a plus
  • Familiarity with AI/ML concepts (LLMs, Deep Learning, etc.), or data processing preferred

Responsibilities

The AI Flight Optimization Engineering Intern will serve in a junior, mentored software development role within Skydweller's Research & Development environment. Responsibilities include:

  • Develop Python-based tools and AI workflows using modern software development practices and Git version control
  • Assist with data preparation, system testing, and validation activities
  • Document code, workflows, system architecture, and write activity reports
  • Participate in agile development cycles, design reviews, and technical discussions

Learning Experience

During the internship, the candidate will gain practical experience in:

  • Artificial intelligence and machine learning applications for aerospace systems
  • Agentic AI architectures and AI-enabled engineering workflows
  • Processing and analysis of aerospace telemetry datasets
  • Software development in a production-oriented aerospace environment
  • Autonomous aircraft operations and flight optimization concepts



Work Environment
This is a part-time 1-year internship onsite at the Skydweller Oklahoma City (OKC) Office. The role integrates the intern directly into active aerospace R&D workflows, providing exposure to advanced autonomous systems development and collaboration with AI and engineering teams.