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Data Science Intern Jobs in Charlottesville, VA (NOW HIRING)

Peraton

Data Scientist

Charlottesville, VA · On-site

$104K - $166K/yr

Build and integrate data science solutions within the ServiceNow platform, including Performance Analytics, custom applications, and workflow automation * Analyze large, complex datasets to identify ...

Peraton

Data Scientist

Charlottesville, VA · On-site

$104 - $166/hr

Build and integrate data science solutions within the ServiceNow platform, including Performance Analytics, custom applications, and workflow automation * Analyze large, complex datasets to identify ...

Peraton

Data Scientist

Charlottesville, VA · On-site

$104K - $166K/yr

Build and integrate data science solutions within the ServiceNow platform, including Performance Analytics, custom applications, and workflow automation * Analyze large, complex datasets to identify ...

Peraton

Data Scientist

Charlottesville, VA · On-site

$104K - $166K/yr

Build and integrate data science solutions within the ServiceNow platform, including Performance Analytics, custom applications, and workflow automation * Analyze large, complex datasets to identify ...

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How much do data science intern jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for data science intern in Charlottesville, VA is $22.33, according to ZipRecruiter salary data. Most workers in this role earn between $17.16 and $24.33 per hour, depending on experience, location, and employer.

What does a data science intern do?

A Data Science Intern typically assists with collecting, cleaning, and analyzing data to support business decisions or research. They work under the supervision of experienced data scientists, helping to build and test predictive models, create data visualizations, and present findings. Interns often use programming languages such as Python or R, and tools like SQL, to manipulate data. The role is designed to provide hands-on experience with real-world data science projects and help interns develop technical and analytical skills.

What types of projects can I expect to work on as a data science intern, and how will I collaborate with other team members?

As a Data Science Intern, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or assisting with data visualization tasks. You'll often collaborate closely with data scientists, engineers, and sometimes business analysts, participating in team meetings and brainstorming sessions. Interns are usually given clearly defined tasks that contribute to larger projects, allowing you to learn from experienced professionals while making a meaningful impact. Regular check-ins and mentorship are typical, providing you with feedback and professional growth opportunities throughout your internship.

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

To thrive as a Data Science Intern, you need a solid grasp of statistics, data analysis, and programming (often in Python or R), typically supported by coursework in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn or TensorFlow), and version control systems (like Git) is commonly expected. Strong problem-solving abilities, communication skills, and a willingness to learn help interns collaborate effectively and translate data insights for diverse audiences. These skills and qualities ensure that interns can contribute meaningfully to projects, adapt quickly, and bridge the gap between raw data and actionable business solutions.

Can I get an internship in data science?

Yes, data science internships are available for students and recent graduates interested in gaining practical experience with skills like programming, statistics, and data analysis using tools such as Python or R. Applicants typically need a background in related fields and may be required to complete technical assessments or projects during the application process.

What are the most commonly searched types of Data Science jobs in Charlottesville, VA?

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For Data Science Intern jobs in Charlottesville, VA, the most frequently searched job titles are:

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Data Science Intern jobs near you
Infographic showing various Data Science Intern job openings in Charlottesville, VA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $46,437 per year, or $22.3 per hour.

Data Scientist

ManTech International

Charlottesville, VA • On-site

Full-time

Medical, Life, Retirement, PTO

Posted yesterday

New

ManTech rating

8.8

Company rating: 8.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

47th of 247 rated software companies

Job description

General information
Requisition #
R70194
Locations
USA-VA-Charlottesville, USA-VA-Arlington, USA-NC-Raleigh
Posting Date
08/31/2026
Security Clearance Required
None
Remote Type
Hybrid
Time Type
Full time
Description & Requirements
Elevate your career with MANTECH International Corporation! Join a dynamic team dedicated to national security through cutting-edge technology. Since 1968, MANTECH has led in delivering advanced solutions to government intelligence, the Department of Defense, and Federal Civilian sectors. Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software Development. Your journey to impactful work and rapid growth starts now-be extraordinary at MANTECH!
MANTECH International Corporation, seeks a motivated, career and customer-oriented Data Scientist to join our team in Raleigh, NC, Washington DC or Charlottesville, VA. This role is hybrid and must be onsite 1-2 days per week.
This role is for a highly experienced and curious data scientist to lead and/or support the full-lifecycle development and deployment of analytical solutions at You will operate as a critical member of our analytics consulting team, acting as a trusted advisor for a diverse set of client partners. MANTECH's data scientists leverage advanced analytical methods to turn ambiguous business challenges into high-impact, production-ready solutions supported by robust data engineering practices.
Responsibilities include but are not limited to:
  • Lead and Contribute to Data Science Projects: Dive deeply into complex and often nebulous requirements and draw from your expertise to develop production-ready models and analytics products for our clients. Clients' needs can require a broad set of analytics skills including but not limited to time series forecasting, natural language processing (NLP), classification/regression modeling, and optimization.
  • Design Solutions within Client Environments: Adapt project work to the client's tooling and environment requirements. This will oftentimes require quickly learning new systems and tools to be able to deliver solutions that will work well within a client's ecosystem.
  • Consult with Clients to Solve Problems: Engage in critical requirements gathering and data "sleuthing" to connect business use cases with the right analytics techniques to provide real-world impact. You will often work directly with clients to define and solve problems that lack clear initial definitions and will regularly communicate your solutions directly to stakeholders.
  • Develop, Lead, and Support Analytics Training Courses: Develop and/or teach bespoke data science, AI, or related material designed specifically for Elder Research clients. This can include support for active courses through lecture, mentoring, and grading.
  • Collaborate and Communicate: Work with internal teams and external client stakeholders to effectively communicate technical findings, maintain strong relationships, and ensure delivery aligns with overall objectives.

Minimum Qualifications:
  • 3+ years of experience as a Data Scientist with a Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or the social or natural sciences.
  • High proficiency in Python and/or R, including libraries for data analysis and modeling.
  • Experience developing machine learning models and employing model validation best practices.
  • Strong SQL experience to facilitate deep dives and analysis of complex datasets.
  • Working knowledge of version control (Git) for source code.
  • Initiative and willingness to "hit the ground running" on new projects; unafraid to work independently.
  • Passion and curiosity for exploring data to understand the business context and connect technical work to real-world impact.
  • Excitement to continually learn new tools and techniques.
  • Humility and eagerness to collaborate with other data scientists, data engineers, engagement and project managers, and clients.
  • Interest in developing and contributing to instruction for data science and AI training courses.
  • Ability to communicate complex technical findings to a variety of audiences, including those with limited data science experience.

Preferred Qualifications:
  • Exceptional comfort with ambiguity and a proven ability to define and drive projects from vague concepts to concrete outcomes.
  • Strong consultative and communication skills to represent the team effectively to clients.
  • Ability to work autonomously in fully remote, flexible client environments.
  • Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related fields.
  • Experience applying advanced statistical concepts and data science workflows to real-world data, including out-of-sample validation for various model types, sampling considerations, bias detection, handling missing or outlying data, and robust exploratory analysis.
  • Understanding of the data analytics lifecycle (e.g., CRISP-DM).

The projected compensation range for this position is $85,300.00-$141,400.00. 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, MANTECH invests in its employees beyond just compensation. MANTECH'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.
MANTECH considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with MANTECH, please email us at careers@mantech.com and provide your name and contact information.

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