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Data Science Analyst Intern Jobs in Virginia (NOW HIRING)

CALIBRE Systems

Lead Data Scientist

Alexandria, VA · On-site

This role will guide the design, development, implementation, and oversight of advanced data science, analytics, artificial intelligence, and machine learning operations that help the agency improve ...

Elder Research

Data Scientist

Arlington, VA · On-site

Explore, clean, and wrangle large, complex datasets to uncover insights and identify opportunities for data science-driven solutions in support of assessments, gap analyses, and actionable ...

Elder Research

Data Scientist

Arlington, VA · On-site

Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or social sciences * 2-10+ years of experience in data ...

Radiance Technologies

Data Scientist

Dahlgren, VA · On-site

Minimum 3 years of experience in data science, analytics, or a related field * Knowledge of data normalization and handling large, complex, or incomplete datasets * Strong proficiency in Python and ...

Radiance Technologies

Data Scientist

Dahlgren, VA · On-site

Minimum 3 years of experience in data science, analytics, or a related field * Knowledge of data normalization and handling large, complex, or incomplete datasets * Strong proficiency in Python and ...

IMAGINEEER LLC

Scientific Data Analyst

Arlington, VA · On-site

$110K - $115K/yr

In this role, you will provide computational, data science, and bioinformatics support for Office ... You will develop and maintain NIH databases, build analytical tools, support computational modeling ...

Td

Senior Manager, Data Science - FCRM Modeling

Vienna, VA · On-site

$123K - $201K/yr

Analytics, Insights, & Artificial Intelligence ATTENTION: This role is not eligible for TD work ... The Senior Manager, Data Science leads a specialized team of data professionals varying in size and ...

SwiftCruit

Data Scientist

Dahlgren, VA · On-site

$110 - $150/hr

Minimum 3 years of experience in data science, analytics, or a related field * Knowledge of data normalization and handling large, complex, or incomplete datasets * Strong proficiency in Python and ...

NS2 Mission

Data Scientist

Arlington, VA · On-site

$120 - $180/hr

In this role, you'll apply advanced analytics, data science methodologies, and emerging technologies to solve complex national security challenges. Working alongside analysts, engineers, and mission ...

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Data Science Analyst Intern information

What does a data science analyst intern do?

A Data Science Analyst Intern assists with analyzing large datasets to uncover patterns, trends, and insights that support business decisions. They typically work alongside data scientists and analysts to clean, organize, and visualize data, as well as help build and test predictive models. Interns may also assist in preparing reports and presentations that communicate findings to stakeholders. This role provides hands-on experience with data analysis tools and techniques, and is a valuable stepping stone for a career in data science.

What are some typical projects or tasks that a data science analyst intern might work on during their internship?

As a Data Science Analyst Intern, you can expect to work on projects such as cleaning and analyzing large datasets, building and testing predictive models, and creating visualizations to communicate findings to stakeholders. Interns often collaborate closely with data scientists, engineers, and business analysts, gaining exposure to real-world data challenges and learning how to apply statistical and machine learning techniques. The role usually involves using tools like Python, R, and SQL, and you may also have opportunities to present your work to different teams, helping you develop both technical and communication skills.

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

To thrive as a Data Science Analyst Intern, you need a solid grasp of statistics, data analysis, and programming languages such as Python or R, typically supported by coursework or a degree in a quantitative field. Familiarity with data visualization tools like Tableau, SQL databases, and version control systems (e.g., Git) is often required. Problem-solving ability, attention to detail, and strong communication skills help interns effectively interpret data and share insights with team members. These skills are crucial for transforming raw data into actionable business insights and supporting data-driven decision-making.

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

AspectData Science Analyst InternData Analyst Intern
Required SkillsBasic programming, statistical analysis, data visualizationData manipulation, Excel, basic SQL
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing sectors
Typical Duration3-6 months internship3-6 months internship

The Data Science Analyst Intern role focuses on applying statistical and programming skills to analyze complex data sets, often involving machine learning and predictive modeling. In contrast, Data Analyst Interns primarily handle data cleaning, reporting, and visualization to support business decisions. Both roles are entry-level, require similar foundational skills, and are common in tech and business industries. Understanding these differences helps candidates target their applications effectively.

What are popular job titles related to Data Science Analyst Intern jobs in Virginia? For Data Science Analyst Intern jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Science Analyst Intern jobs in Virginia look for? The top searched job categories for Data Science Analyst Intern jobs in Virginia are:
What cities in Virginia are hiring for Data Science Analyst Intern jobs? Cities in Virginia with the most Data Science Analyst Intern job openings:
Data Science Analyst Intern jobs near you
Infographic showing various Data Science Analyst Intern job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Lead Data Scientist

CALIBRE Systems

Alexandria, VA • On-site

Full-time

Re-posted 13 days ago

Job description


CALIBRE Systems inc, an employee-owned mission focused solutions and digital transformation company, is looking to hire a Lead Data Scientist to provide senior-level technical and management leadership in support of a federal civilian government agency. This role will guide the design, development, implementation, and oversight of advanced data science, analytics, artificial intelligence, and machine learning operations that help the agency improve decision-making and mission performance. The Lead Data Scientist will serve as a trusted advisor to government stakeholders, translating mission needs into practical analytical strategies and ensuring that technical solutions are accurate, secure, scalable, explainable, and aligned with federal standards and agency objectives.
Required Skills
• Provide technical and management leadership for major data science, analytics, and technology assignments supporting federal civilian mission objectives.
• Establish project goals, technical plans, analytical approaches, and implementation roadmaps that align with agency priorities, contract requirements, and stakeholder expectations.
• Apply expert knowledge of data science methods, data management practices, model evaluation, governance, and quality assurance to ensure solutions are reliable and fit for purpose.
• Direct and control project activities for the client, with responsibility for technical execution, financial management, staffing, methods, schedule performance, risk management, and overall delivery quality.
• Interface with senior government leaders, contracting representatives, program managers, technical teams, and other stakeholders to communicate progress, resolve issues, negotiate priorities, and support informed decision-making.
• Evaluate agency data assets, business processes, and mission requirements to identify opportunities for automation, analytics modernization, operational improvement, and responsible use of emerging technologies.
• Mentor and supervise data scientists, analysts, engineers, and other technical staff as needed, ensuring team members apply sound methods and deliver high-quality work products.
• Prepare briefings, technical documentation, analytical reports, executive summaries, and recommendations for a diverse range of stakeholders and cross-functional teams.
• Present findings and recommendations to stakeholders at various levels of seniority, including members of Congress
Required Experience
• PhD in Data Science, Computer Science, Statistics, Mathematics, Operations Research, Engineering, or a closely related field.
• 15+ years of relevant experience leading complex data science, analytics, technology, or mission-support programs.
Desired Experience
• Demonstrated experience providing technical leadership, project direction, stakeholder engagement, and team oversight in a client-facing environment.
• Experience translating complex technical concepts into clear, actionable guidance for executive, technical, and non-technical audiences.
• Ability to manage competing priorities, assess risks, make sound technical decisions, and deliver high-impact solutions in support of mission-critical objectives.
• Experience supporting federal civilian government agencies, public-sector missions, or regulated government environments.
• Familiarity with federal data strategies, data governance practices, privacy requirements, information security expectations, responsible AI principles, and accessibility considerations.
• Experience with cloud-based analytics platforms, enterprise data environments, big data technologies, and modern data visualization tools.
• Experience leading integrated teams that include data scientists, data engineers, analysts, business stakeholders, program managers, and IT personnel.
• Knowledge of federal acquisition, contract delivery, performance reporting, and client relationship management practices.

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