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Internship Python Data Science Jobs in Champaign, IL

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Internship Python Data Science information

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How much do internship python data science jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for internship python data science in Champaign, IL is $22.54, according to ZipRecruiter salary data. Most workers in this role earn between $17.36 and $24.57 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Python Data Science, and why are they important?

To thrive as an Internship Python Data Science, you need a solid understanding of statistics, data analysis, and programming in Python, often supported by coursework or academic projects in data science or related fields. Familiarity with tools and libraries such as Pandas, NumPy, Scikit-learn, and Jupyter Notebooks is typically expected. Strong problem-solving abilities, eagerness to learn, and effective communication are valuable soft skills for standing out in this role. These skills ensure interns can analyze data, contribute to team projects, and grow quickly in a fast-evolving technical environment.

What is the difference between Internship Python Data Science vs Data Analyst Intern?

AspectInternship Python Data ScienceData Analyst Intern
Required SkillsPython, SQL, statistics, machine learning basicsExcel, SQL, data visualization tools
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing sectors
Typical TasksData cleaning, modeling, predictive analysisData reporting, dashboard creation, trend analysis

Internship Python Data Science and Data Analyst Intern roles share common skills like SQL and data handling but differ mainly in focus. Data Science internships emphasize programming, modeling, and machine learning, while Data Analyst internships focus on data visualization and reporting. Both are valuable entry points in data careers, often found in similar industries and work environments.

What types of projects can I expect to work on during a Python Data Science internship?

As a Python Data Science intern, you will often work on projects involving data cleaning, exploratory data analysis, model building, and visualization using Python libraries like pandas, NumPy, and scikit-learn. You may assist in preparing datasets, automating data pipelines, or supporting senior data scientists with real-world business problems such as customer analytics or predictive modeling. Collaboration with both technical and non-technical teams is common, providing valuable exposure to the end-to-end data science workflow and opportunities to present your findings.

What is an Internship Python Data Science position?

An Internship Python Data Science position is an entry-level role designed for students or recent graduates to gain practical experience in data science using Python. Interns typically work under the supervision of experienced data scientists, assisting with data analysis, cleaning, visualization, and sometimes building machine learning models. They may also collaborate on real-world projects, learning to use tools and libraries like pandas, NumPy, scikit-learn, and Jupyter Notebook. This internship helps individuals develop technical and analytical skills while building a foundation for a career in data science.
What are the most commonly searched types of Python Data Science jobs in Champaign, IL? The most popular types of Python Data Science jobs in Champaign, IL are:
What cities near Champaign, IL are hiring for Internship Python Data Science jobs? Cities near Champaign, IL with the most Internship Python Data Science job openings:
Senior C++ and Build Engineer - DC System Software

Senior C++ and Build Engineer - DC System Software

Nvidia

Champaign, IL

Full-time

Posted 5 days ago


Job description

NVIDIA is looking for outstanding software engineers to help us expand our enterprise GPU management and monitoring tools. In this role you will work closely with the broader NVIDIA team to design and build Linux-based management agents, CLI tools and end-to-end integration solutions that combine GPUs with the rest of the data center software management ecosystem. You will also help maintain our containerized build environment, build process, CI/CD pipelines and infrastructure, and packaging.

We are focused on supporting NVIDIA products across HPC, cloud and enterprise on both bare metal and virtualized platforms as the role of GPUs in all of these environments expands rapidly. Your contributions will span many aspects of GPU system integration, including telemetry and metrics, health checks, diagnostics, configuration, accounting and policy. These tools fill roles of both passive background monitoring and active online management with a core emphasis on operational transparency and seamless integration in customer environments. Your code will support single node developer systems through large clusters with thousands of nodes. To be successful you will need to have a strong Linux C/C++ background, familiarity with distributed software development and a proven work ethic. You will be expected to jump in quickly and provide important contributions from day one. This is a dynamic work environment with many exciting opportunities awaiting. NVIDIA GPUs are central to many hot trends in the enterprise, cloud and datacenter. Come join us as we craft the future of accelerated compute and AI.

What you'll be doing:

  • Develop robust, scalable C++ user space data center management system software under Linux

  • Build and maintain user-space libraries, agents, plugins, bindings and CLI tools

  • Enable GPU management integration with the OSS ecosystem, including Kubernetes and Docker

  • Maintain build and CI/CD processes to deliver our product on CUDA-supported OSes.

  • Support internal and external users through bug fixes, documentation and feature improvements

  • Maintain high quality products through robust test coverage and smart design

What we need to see:

  • BS or higher in Computer Science or equivalent experience.

  • 5+ years of meaningful industry experience with a strong C++ development background

  • User space development and debugging expertise under Linux environments

  • Experience packaging software for Linux package managers (DEB and RPM)

  • Experience using Kitware utilities to manage builds (CMake, CPack, CTest)

  • Experience with APIs and interface design

  • Outstanding written and verbal interpersonal skills. Strong motivation and commitment to learn new skills

  • Ability to execute all aspects of the software development lifecycle. Ability to manage time in a fast, heavily multitasked environment

Ways to stand out from the crowd:

  • Development experience with python, go, and rust. Experience developing CI/CD pipelines using GitLab-CI, GitHub Actions, or Jenkins

  • Experience developing containerized environments using Docker (buildx, bake, BuildKit), Exposure to GPU programming with CUDA

  • Experience developing playbooks, roles, and modules for Ansible configuration. Experience with RESTful web services using CLI tools

NVIDIA is widely considered one of the world's most desirable employers in technology. We have some of the world's most forward-thinking and passionate people working for us. If you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 2, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993