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Data Scientist Intern Jobs in Springfield, VA (NOW HIRING)

Data Scientist

Alexandria, VA · On-site

$116K - $174K/yr

The Data Scientist will help develop and deploy AI models from ideation to production. Required For This Opportunity * Bachelor's Degree in Computer Science * At least 5+ years of experience in Data ...

Data Scientist

Chantilly, VA · On-site

$165K - $210K/yr

A Data Scientist represents an effective arbiter of strong technical knowledge and clear communication to inform decision makers and warfighters. Main responsibilities of data scientists include a ...

Data Scientist

Chantilly, VA · On-site

$100 - $140/hr

A Data Scientist represents an effective arbiter of strong technical knowledge and clear communication to inform decision makers and warfighters. Main responsibilities include a strong understanding ...

Data Scientist

Chantilly, VA · On-site

$165K - $210K/yr

A Data Scientist represents an effective arbiter of strong technical knowledge and clear communication to inform decision makers and warfighters. Main responsibilities of data scientists include a ...

VTG is looking for Level 2 and Level 3 Data Scientists. The role involves applying data science techniques, particularly in cybersecurity solutions, to analyze data, create visualizations, and ...

Brillient is seeking an experienced Data Scientist to join our team supporting a federal contract in Silver Spring, MD. This position requires U.S. Citizenship or a permanent resident and the ability ...

Data Scientist I supports government and program teams by assisting with data analysis, visualization, and reporting to inform mission, operational, and business decisions under senior supervision.

Data Scientist

Chantilly, VA · On-site

$105K - $215K/yr

Data Scientist I supports government and program teams by assisting with data analysis, visualization, and reporting to inform mission, operational, and business decisions under senior supervision.

Overview VTG is seeking a highly analytical and driven Data Scientist with at least 5 years of experience leveraging data to drive business insights and decision-making. The ideal candidate will have ...

Share Data Scientist The Opportunity: In this role, you will apply data science techniques and methods and leverage a suite of data-driven tools to aid the client's service leadership and subject ...

We're looking for an experienced Data Scientist or Senior Data Scientist to join one of our cross-functional product development teams here at Two Six Technologies. Our teams are building ...

Data Scientist General Information Requisition #715 Locations USA-VA-Arlington Posting Date 06/12/2026 Security Clearance Required - IRS MBI Remote Type Hybrid Time Type Full time Description ...

R0241573 Data Scientist The Opportunity: In this role, you will apply data science techniques and met hods and leverage a suite of data-driven tools to aid the client's service leadership and subject ...

Data Scientist General Information Requisition # 714 Locations USA-VA-Arlington Posting Date 06/12/2026 Security Clearance Required - IRS MBI Remote Type Hybrid Time Type Full time Description ...

Showing results 21-40

Data Scientist Intern information

See Springfield, VA salary details

$48.3K

$173.3K

$255.8K

How much do data scientist intern jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data scientist intern in Springfield, VA is $173,321.00, according to ZipRecruiter salary data. Most workers in this role earn between $140,200.00 and $178,600.00 per year, depending on experience, location, and employer.

What is a data scientist intern?

Data Scientist Interns are individuals, often students or recent graduates, who work temporarily in organizations to gain practical experience in data science. Their main responsibilities include collecting, cleaning, analyzing, and visualizing data under the guidance of experienced data scientists. Interns may also assist in building machine learning models, generating reports, and presenting insights to help solve real business problems. The internship provides valuable hands-on experience and helps interns develop technical and analytical skills necessary for a full-time data science role.

What types of projects and tasks can I expect to work on as a data scientist intern?

As a Data Scientist Intern, you can expect to work on a variety of data-driven projects such as cleaning and analyzing datasets, building predictive models, and generating data visualizations to support business decisions. You'll often collaborate with other data scientists, engineers, and business teams to tackle real-world problems and may be asked to present your findings to stakeholders. These experiences are designed to help you develop technical skills, gain exposure to industry tools and methodologies, and understand how data science contributes to organizational goals.

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

To thrive as a Data Scientist Intern, you generally need a strong foundation in statistics, programming (often Python or R), and data analysis, often supported by coursework in computer science or related fields. Familiarity with tools such as Jupyter Notebook, SQL, and machine learning libraries like scikit-learn or TensorFlow is typically expected. Strong problem-solving skills, curiosity, and effective communication set standout candidates apart in this role. These skills and qualities are crucial for extracting insights from data, collaborating with diverse teams, and contributing meaningful solutions to real-world problems.

What is the difference between Data Scientist Intern vs Data Analyst Intern?

AspectData Scientist InternData Analyst Intern
Required CredentialsTypically pursuing or holding a degree in Data Science, Computer Science, or related fieldsUsually pursuing or holding a degree in Statistics, Mathematics, or related fields
Work EnvironmentInvolves building predictive models, machine learning, and advanced analyticsFocuses on data cleaning, reporting, and descriptive analytics
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprises for complex data projectsCommon in retail, marketing, and business intelligence roles across industries

While both roles involve working with data, a Data Scientist Intern typically engages in advanced analytics and machine learning projects, whereas a Data Analyst Intern focuses on data reporting and descriptive analysis. The roles differ mainly in complexity and technical skills required, but both serve as entry points into data-driven careers.

What are the most commonly searched types of Data Scientist jobs in Springfield, VA?

The most popular types of Data Scientist jobs in Springfield, VA are:

What cities near Springfield, VA are hiring for Data Scientist Intern jobs?

Cities near Springfield, VA with the most Data Scientist Intern job openings:

Infographic showing various Data Scientist Intern job openings in Springfield, VA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 12% Part Time, 1% Temporary, and 5% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $173,321 per year, or $83.3 per hour.

$116K - $174K/yr

Full-time

Re-posted 28 days ago


Job description

Why AIS?
When you join AIS, you're joining a mission-driven team that's passionate about making a difference. You'll work on projects that matter, alongside industry-leading experts, in an environment that fosters innovation, driving client success, and empowering our team to make a lasting impact. As an employee-owned company, we value collaboration, inclusivity, continuous growth, and shared success.
  • Employee Ownership: Your contributions directly impact the company's success, and you share in its achievements.
  • Continuous Learning: Access to resources, training, and mentorship to support your professional growth.
  • Inclusive Culture: A workplace where diversity is celebrated, and everyone's voice is valued.
  • Mission-Driven Work: Engage in projects that make a meaningful difference for our clients and communities.

What are we looking for?
At AIS, we're looking for more than just skills - we're looking for driven individuals who are passionate about making a difference, eager to grow, and aligned with our core principles.
Working@AIS
At AIS, we are dedicated to providing our employees with diverse opportunities to grow their careers while supporting a variety of impactful projects. For this position, we are seeking a talented individual to join AIS as a Senior Data Scientist.As your initial project assignment, you will support the unique needs of our client as a Data Scientist.Project Summary
AIS is seeking a Data Scientist for an AI Engineering contract supporting a federal customer onsite in Alexandria, VA.
Key Responsibilities
  • The Data Scientist will help develop and deploy AI models from ideation to production.

Required For This Opportunity
  • Bachelor's Degree in Computer Science
  • At least 5+ years of experience in Data Science.
  • Must have hands-on experience with Python, Python DS Tech Stack (tensorflow, scikit-learn, pandas, etc.)
  • Must have experience with database systems.
  • Must have a Secret clearance
  • Must have experience deploying Machine Learning (ML) models.

Nice to Have Skills
  • A certification in Data Science, AI, or another related certification is preferred, but not required.
At AIS, we are committed to offering competitive and fair compensation that reflects the skills, experience, and contributions of each team member.The targeted base salary range for this role is $116,000-$174,000 per year. Please note that this range is provided as a guideline and the final offer will be based on several factors, including but not limited to, skillset and competencies, level of experience, education, certifications, and location.We value transparency in our hiring process and are happy to discuss how your unique qualifications align with our compensation structure during the interview process.
Applied Information Sciences does not discriminate on the basis of race, national origin, religion, color, gender, sexual orientation, age, disability, protected veteran status, or any other basis. Employment decisions are based solely on qualifications, merit, and business needs.