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Entry Level Data Science Intern Jobs in Virginia

Arcfield

Data Scientist I

Chantilly, VA · On-site

Responsibilities Arcfield is looking for an entry-level DATA SCIENTISTS to serve as an essential member of a team responsible for transforming raw data into meaningful insights and tools that improve ...

US Department of the Air Force

$49K/yr

As a Palace Acquire Intern you will experience both personal and professional growth while dealing ... Mathematics, statistics, computer science, data science or field directly related to the position.

Dev Technology

AI/ML Intern (Summer 2027)

Reston, VA · Hybrid

$21 - $30/hr

AI/ML Intern, #1092 Clearance: US citizenship required. Must be able to obtain a public trust ... This is an excellent opportunity for those seeking professional experience in data science ...

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Entry Level Data Science Intern information

What does an entry level data science intern do?

An Entry Level Data Science Intern assists data science teams by collecting, cleaning, and analyzing data under supervision. Typical tasks include working with spreadsheets, running basic statistical analyses, and helping prepare reports or visualizations. Interns may also support ongoing projects by writing simple code, documenting findings, and learning to use industry-standard tools like Python, SQL, or R. This position is designed to help individuals gain practical experience and develop foundational data science skills.

What types of projects can an entry level data science intern expect to work on, and how are tasks typically assigned?

As an Entry Level Data Science Intern, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, and assisting with building predictive models under the guidance of senior data scientists. Tasks are typically assigned based on your skill level and learning objectives, often starting with foundational work like preparing datasets or automating routine analyses. You'll regularly collaborate with other interns, data analysts, and engineers, participating in team meetings and code reviews to ensure alignment and progress. This collaborative environment helps you build your technical skills while gaining exposure to real-world business problems.

What are the key skills and qualifications needed to thrive as an entry level data science intern, and why are they important?

To thrive as an Entry Level Data Science Intern, you need a solid foundation in statistics, programming (often Python or R), and data analysis, typically supported by coursework or relevant projects. Familiarity with tools like Jupyter Notebook, SQL, and data visualization libraries (e.g., Matplotlib, Seaborn) is commonly expected. Strong problem-solving skills, curiosity, and clear communication help you collaborate and convey insights effectively. These skills enable interns to contribute meaningfully to team projects, learn quickly, and translate data into actionable results.

How to get a first internship in data science?

To secure a first data science internship, candidates should build foundational skills in programming languages like Python or R, learn data analysis and visualization tools, and work on relevant projects or competitions. Gaining familiarity with machine learning concepts and obtaining certifications such as those from Coursera or edX can also improve chances. Applying to internships through company websites, university career centers, or networking platforms is essential.

What are the most commonly searched types of Data Science Intern jobs in Virginia?

The most popular types of Data Science Intern jobs in Virginia are:

What are popular job titles related to Entry Level Data Science Intern jobs in Virginia?

For Entry Level Data Science Intern jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Science Intern jobs in Virginia look for?

The top searched job categories for Entry Level Data Science Intern jobs in Virginia are:

Entry Level Data Science Intern jobs near you
Infographic showing various Entry Level Data Science Intern job openings in Virginia as of September 2026, with employment types broken down into 28% Internship, 44% Full Time, 23% Part Time, and 5% Temporary. Highlights an 84% In-person, 8% Hybrid, and 8% Remote job distribution.

Data Scientist I

Chantilly, VA • On-site

Arcfield
IT Services • 1 - 5K employees
Learn more about Arcfieldexternal

Full-time

Medical, Life, Retirement, PTO

Posted 9 days ago

Job description

Responsibilities
Arcfield is looking for an entry-level DATA SCIENTISTS to serve as an essential member of a team responsible for transforming raw data into meaningful insights and tools that improve decision-making, driving innovation, optimizing operations, and adding measurable value to our customer's Ground Enterprise. Come join our team on the Geralt MERIGOLD Program.
The ideal candidate will be able to combine technical know-how with business acumen to create impactful solutions. Duties include but are not limited to the following:
  • Working on assignments requiring considerable judgment and initiative
  • Help onboard, operate, and transition large-scale data science and AI/ML models in cloud and on-premises computing environments
  • Support pipeline development for data, software, and algorithm delivery to ensure reliability, security compliance, and seamless integration across domains
  • Support project development by visualizing, analyzing, trending, and providing metrics for Systems Program Office -level projects
  • Provide technical support for research, development, and the systematic transition of advanced data fusion, analytics, and automated workflow solutions to operational environments
  • Draft solutions to routine technical problems
  • Assist with developing and executing data management plans and policies
  • Perform analysis of unstructured and semi-structured data, including latent semantic indexing (LSI), entity identification and tagging, complex event processing (CEP), and the application of analysis algorithms on distributed, clustered, and cloud-based high-performance infrastructures
  • Participate in large-scale analysis of unstructured data for high-value use cases visualized through multi-dimensional interfaces
  • Handle processing and indexing requests for both high-volume data collections and high-velocity data streams
  • Identify insights, patterns, and trends in big data environments using computational and technical skills
  • Assist with designing, developing, and deploying sophisticated applications using advanced unstructured or semi-structured data analysis techniques
  • Interpret, connect, predict, and deliver actionable recommendations based on complex data analysis
  • Support data transportation and transformation tasks

Qualifications
Required:
  • Must possess and be able to maintain a TS/SCI clearance with polygraph
  • BS 0-2 Years of HS 6-8
  • Interest in solving technical problems; Strong analysis skills
  • Good presentation and communication skills
  • Ability to work independently and within a team environment
  • Experience with or understanding of cloud-based tools for data analysis

Desired:
  • Degree in Engineering (e.g. aerospace, mechanical, electrical, computer/software), Computer Science, Data Science, Imaging Science, Mathematics, Physics or other related technical fields
  • Interest in writing code; High degree of computer literacy
  • Experience in applying machine learning techniques, algorithm analysis, and data clustering
  • Experience with utilizing open-source textual processing tools for data processing tasks
  • Demonstrated experience with employing visual analytic tools for data interpretation
  • Experience with applying entity extraction and conceptual search technologies
  • Experience with Unix/Linux Scripting
  • Experience with Python, C/C++, Fortran, or similar
  • Experience with MS Excel, Python, R, MATLAB, or similar
  • Experience with Data Mining, Analysis, Statistics, Performance Analysis, or Predictive Analytics and Reporting using various methods and tools
  • Ability to demonstrate experience in software development using platforms like:
    • Open-source enterprise software (e.g., Java, Linux, Ruby, Python)
    • Windows development stack (e.g., .NET, C#, C++)

Equal Pay Act
This is the projected compensation range for this position. There are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location (For Remote Opportunities), education and certifications as well as Federal Government Contract Labor categories. In addition, Arcfield invests in its employees beyond just compensation. Arcfield 's benefits offerings include, dependent upon position, Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, Short Term and Long-Term Disability, Retirement and Savings, Learning and Development opportunities, wellness programs as well as other optional benefit elections. Min: $66,456.39 Max: $115,554.76
EEO Statement
We are an equal opportunity employer and federal government contractor. We do not discriminate against any employee or applicant for employment as protected by law.

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