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Scientific Computing Internship Jobs in Wisconsin

Jobtailor

WI · On-site

$9.26/hr

Data Science * Software Engineering * Machine Learning * Cloud Computing Hard Skills * Programming ... Internship Experience * Onsite Work #J-18808-Ljbffr

LRS

Software Engineer, Intern

Waukesha, WI

$23.50/hr

... computing (GPU/CPU) on Linux, with a focus on C++ and OpenCL. This internship is designed for ... Minimum Qualifications Current junior standing (or equivalent progress) in Computer Science ...

AE Business Solutions

Jr. Cloud Engineer

Madison, WI · Hybrid

$56.25 - $75/hr

Basic understanding of cloud computing concepts and services. * Foundational knowledge of ... Experience through internships, labs, personal projects, coursework, or certifications.

AE Business Solutions

Jr. Cloud Engineer

Madison, WI · On-site

$56.25 - $75/hr

Basic understanding of cloud computing concepts and services. * Foundational knowledge of ... Experience through internships, labs, personal projects, coursework, or certifications.

US Venture, Inc.

Cloud Engineer Intern

Appleton, WI · On-site

Venture's Internship Program runs May - August 2027. Dates may vary based on individual class ... Science, Information Technology, Information Systems, Cloud Computing, or a related field.

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Scientific Computing Internship information

What is a scientific computing internship?

A Scientific Computing Internship is a temporary position where students or recent graduates work on projects involving computational methods to solve scientific problems. Interns typically assist with programming, data analysis, mathematical modeling, and using specialized software to support research in fields like physics, biology, or engineering. The internship provides hands-on experience with real-world scientific challenges, often in academic, government, or industry research settings. These opportunities help interns develop technical skills, gain exposure to the research process, and build professional networks in the scientific computing field.

What types of projects might I work on during a scientific computing internship?

As a Scientific Computing Intern, you may be involved in projects such as developing simulation models, optimizing computational algorithms, or analyzing large datasets for scientific research. Interns often collaborate closely with researchers and software engineers, contributing to code development, data processing, or scientific visualization tasks. These projects provide hands-on experience with programming languages like Python, MATLAB, or C++, and exposure to high-performance computing environments. The collaborative and interdisciplinary nature of the work allows you to build both technical and teamwork skills which are valuable for future roles in academia or industry.

What are the key skills and qualifications needed to thrive as a scientific computing intern, and why are they important?

To thrive as a Scientific Computing Intern, you generally need a solid background in mathematics, programming (often Python, C++, or MATLAB), and data analysis, typically supported by coursework in computer science or a related STEM field. Familiarity with scientific computing tools and libraries such as NumPy, SciPy, and version control systems like Git is common, and experience with high-performance computing environments is a plus. Strong problem-solving abilities, attention to detail, and effective communication skills help interns collaborate with research teams and present complex findings clearly. These qualifications are crucial for efficiently supporting research projects and contributing to innovative scientific solutions.

What is the difference between Scientific Computing Internship vs Data Analyst Internship?

AspectScientific Computing InternshipData Analyst Internship
Required CredentialsTypically requires a background in computer science, mathematics, or engineering; familiarity with programming languages like Python, C++, or MATLABUsually requires a degree in statistics, mathematics, or related fields; skills in SQL, Excel, and data visualization tools
Work EnvironmentResearch labs, academic institutions, or R&D departments within tech or engineering firmsBusiness settings, finance, marketing, or healthcare organizations
Employer & Industry UsageUsed in scientific research, simulations, and modeling projectsApplied in business analytics, reporting, and data-driven decision making

While both internships involve working with data and computational tools, Scientific Computing Internships focus on scientific research, simulations, and technical problem-solving, whereas Data Analyst Internships emphasize analyzing business data to inform decisions. The choice depends on your career interests in research versus business analytics.

What are the most commonly searched types of Scientific Computing jobs in Wisconsin?

The most popular types of Scientific Computing jobs in Wisconsin are:

What are popular job titles related to Scientific Computing Internship jobs in Wisconsin?

For Scientific Computing Internship jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Scientific Computing Internship jobs in Wisconsin look for?

The top searched job categories for Scientific Computing Internship jobs in Wisconsin are:

What cities in Wisconsin are hiring for Scientific Computing Internship jobs?

Cities in Wisconsin with the most Scientific Computing Internship job openings:

Scientific Computing Internship jobs near you
Infographic showing various Scientific Computing Internship job openings in Wisconsin as of August 2026, with employment types broken down into 6% Internship, 69% Full Time, 24% Part Time, and 1% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution.

Information Digital Technology & Security Internship

WI • On-site

Jobtailor
See more jobs at Jobtailorexternal

$9.26/hr

Other

Posted 9 days ago

Job description


  • Assist in delivering best-in-class technological solutions for Boeing’s global business, partners, and customers

  • Transition classroom theory into high-impact practical work

  • Complete projects that develop existing technical skills and build new competencies

  • Work within collaborative teams to address complex real-world challenges

  • Work directly with a mentor to find solutions to real-world problems

  • Tour Boeing manufacturing and research facilities

  • Interact with company leaders about strategy and Boeing’s future

  • Build a professional network through social events and activities

  • Develop skills and knowledge for a future aerospace industry career


Requirements

  • Ability to work full-time for 10–12 weeks during Summer 2027

  • Currently enrolled at a college or university

  • Expected graduation date on or after August 2027

  • Majoring in Computer Science, Data Science, Computer Engineering, Software Engineering, Statistics, Mathematics, Electrical Engineering, Physics, Programming, Cybersecurity, Cloud Computing, DevOps Engineering, Machine Learning, Generative AI, Analytics, Information Technology, Information Systems, Data Analytics, or a related field

  • Strong academic performance, with a GPA of 3.0 or above preferred

  • Previous internships or work experience and/or involvement with student or civic organizations preferred

  • Passion for the aerospace industry and interest in a career with Boeing

  • Ability to relocate and work onsite preferred

  • Some positions may require U.S. citizenship to obtain a U.S. Security Clearance

  • Some positions require a “US Person” under 22 C.F.R. § 120.15 for Export Control compliance

  • Employer will not sponsor applicants for employment visa status

  • Post-offer drug testing may apply

  • Ability to work first shift


Core Competencies

Demonstrates strong technical skills in Computer Science, Data Science, and related fields while collaborating effectively within teams to solve complex challenges in the aerospace industry. Possesses a passion for aerospace and a commitment to professional development through hands‑on experience and mentorship.


Highest-signal resume keywords

  • Computer Science

  • Data Science

  • Software Engineering

  • Machine Learning

  • Cloud Computing


Hard Skills

  • Programming

  • Data Analytics

  • Cybersecurity

  • DevOps Engineering

  • Generative AI

  • Statistics

  • Mathematics

  • Information Technology

  • Information Systems

  • Electrical Engineering


Soft Skills

  • Collaboration

  • Problem-Solving

  • Networking

  • Mentorship

  • Communication


Industry Keywords

  • Aerospace Industry

  • U.S. Security Clearance

  • Export Control Compliance

  • Internship Experience

  • Onsite Work

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