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Scientific Computing Internship Jobs in Washington, DC

Hirekeyz Inc

Lead Machine Learning Engineer

Fort Belvoir, VA · On-site

$115K - $152K/yr

... science, electrical engineering, mathematics, or a similar field * At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience ...

Quandela

Senior Research Scientist US

Washington, DC · On-site

$111K - $142K/yr

... scientific background in quantum computing, quantum photonics, or a closely related field to ... Mentor junior scientists, postdoctoral researchers, engineers, and interns. * Contribute to ...

Quandela

Senior Research Scientist US

Washington, DC · On-site

$111K - $142K/yr

... scientific background in quantum computing, quantum photonics, or a closely related field to ... Mentor junior scientists, postdoctoral researchers, engineers, and interns. * Contribute to ...

Quandela

Senior Research Scientist US

Washington, DC · On-site

$111K - $142K/yr

... scientific background in quantum computing, quantum photonics, or a closely related field to ... Mentor junior scientists, postdoctoral researchers, engineers, and interns. * Contribute to ...

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All JobsScientific Computing JobsScientific Computing Internship JobsScientific Computing Internship Jobs in Washington, DC

Scientific Computing Internship information

See Washington, DC salary details

$2.4K

$7.3K

$8.8K

How much do scientific computing internship jobs pay per month?

As of Aug 7, 2026, the average monthly pay for scientific computing internship in Washington, DC is $7,293.33, according to ZipRecruiter salary data. Most workers in this role earn between $5,000.00 and $8,683.33 per month, depending on experience, location, and employer.

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 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 are the most commonly searched types of Scientific Computing jobs in Washington, DC? The most popular types of Scientific Computing jobs in Washington, DC are:
What are popular job titles related to Scientific Computing Internship jobs in Washington, DC? For Scientific Computing Internship jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Scientific Computing Internship jobs in Washington, DC look for? The top searched job categories for Scientific Computing Internship jobs in Washington, DC are:
Scientific Computing Internship jobs near you
Infographic showing various Scientific Computing Internship job openings in Washington, DC as of August 2026, with employment types broken down into 8% Internship, 1% As Needed, 65% Full Time, 24% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $87,520 per year, or $42.1 per hour.

Machine Learning Engineer

Nastech Global

Fort Belvoir, VA • On-site

Contractor

Re-posted 11 days ago

Job description

Job Title:  Machine Learning Engineer
Location: Fort Belvoir, VA (5 days onsite)
Duration:  Long-Term Contract
Citizenship: US Citizen with active TS/SCI w CI Poly
 
Top Required Skills
AWS, ML/AI Development, Python or Scala, or Java, TS/SCI w CI Poly willing to work onsite in Ft. Belvoir
 
Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field
Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field
At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
Proven track record in designing, building, and/or delivering ML models and components that solve real-world business problems, while working in collaboration with other technical teams.
Collaborate as part of a cross-functional Agile team to create and enhance capabilities that enable state-of-the-art big data and ML applications.
Retrain, maintain, and monitor models in production.
Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.
Be a trusted advisor to the Government to ensure all third-party vendors' platforms and code delivered are “fit for purpose”
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and
Use programming languages like Python, Scala, or Java.
Ability to mentor and coach junior resources with delivery tasks.
Self-motivated, with the ability to work effectively both independently and in a team environment
 
Thanks and Regards,
Murali Sharma
202-828-3494
Murali@NasTechglobal.com