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Internship Data Visualization Jobs in Ashburn, VA

... internships) working with large amounts of data * Experience building AI agents and using AI to produce outcomes * Knowledge of data management and reporting/data visualization technologies (Power BI ...

Junior Data Analyst

Ashburn, VA · Hybrid

$83K - $139K/yr

Coursework related and/or prior internship related to data analytics. * Strong knowledge of SQL and ... Exposure to data visualization tools (e.g., Tableau, Power BI). * Understanding of software ...

... roles or internships, performing national security-related analytics; preference for research, quantitative analysis, data manipulation, and data visualization skills * Excellent professional ...

... roles or internships, performing national security-related analytics; preference for research, quantitative analysis, data manipulation, and data visualization skills * Excellent professional ...

... roles or internships, performing national security-related analytics; preference for research, quantitative analysis, data manipulation, and data visualization skills * Excellent professional ...

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Internship Data Visualization information

See Ashburn, VA salary details

$12

$23

$43

How much do internship data visualization jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for internship data visualization in Ashburn, VA is $23.01, according to ZipRecruiter salary data. Most workers in this role earn between $17.69 and $25.10 per hour, depending on experience, location, and employer.

What is an internship data visualization?

Internship data visualization roles are entry-level positions where interns learn to create visual representations of data to help organizations make data-driven decisions. These roles typically involve working with tools like Tableau, Power BI, or Python libraries to turn raw data into charts, graphs, and dashboards. Interns gain hands-on experience by assisting with data cleaning, analysis, and reporting tasks, while learning best practices in presenting complex information clearly and effectively. These internships are a great way for students and recent graduates to develop technical and analytical skills in a real-world setting.

What types of projects and tools can I expect to work with during a data visualization internship?

As a Data Visualization intern, you will typically collaborate with data analysts and business stakeholders to create visual representations of complex datasets. You can expect to work on projects such as interactive dashboards, infographics, and reports using tools like Tableau, Power BI, or open-source libraries such as D3.js and Plotly. Interns often assist in cleaning and preparing data, designing visual layouts, and presenting findings to team members. This role offers valuable exposure to both technical and creative aspects of data storytelling, and provides a strong foundation for future roles in data analytics or visualization.

What are the key skills and qualifications needed to thrive as an internship data visualization, and why are they important?

To thrive as an Internship Data Visualization, you need a solid understanding of data analysis, basic statistics, and proficiency with visualization concepts, often supported by coursework in computer science, statistics, or related fields. Familiarity with tools such as Tableau, Power BI, Excel, or programming languages like Python (with libraries such as Matplotlib or Seaborn) is typically expected. Attention to detail, creativity, and effective communication skills help interns present data insights clearly to diverse audiences. These skills ensure that data-driven stories are accurately and compellingly conveyed to support decision-making.

What is the difference between Internship Data Visualization vs Data Analyst Intern?

AspectInternship Data VisualizationData Analyst Intern
Required SkillsData visualization tools, basic analytics, programming (e.g., Excel, Tableau, Power BI)Data analysis, statistical skills, programming (e.g., SQL, Python), visualization
Work EnvironmentProject-based, collaborative teams, entry-levelData-focused projects, cross-departmental collaboration, entry-level
Industry UsageMarketing, finance, tech, researchBusiness, finance, healthcare, tech

Internship Data Visualization focuses on creating visual representations of data to communicate insights, often using tools like Tableau or Power BI. Data Analyst Interns perform broader data analysis, including statistical evaluation and data cleaning. Both roles are entry-level, require basic technical skills, and are used across various industries. The main difference lies in the emphasis: visualization versus comprehensive data analysis.

What are the most commonly searched types of Data Visualization jobs in Ashburn, VA?

The most popular types of Data Visualization jobs in Ashburn, VA are:

What are popular job titles related to Internship Data Visualization jobs in Ashburn, VA?

For Internship Data Visualization jobs in Ashburn, VA, the most frequently searched job titles are:

What job categories do people searching Internship Data Visualization jobs in Ashburn, VA look for?

The top searched job categories for Internship Data Visualization jobs in Ashburn, VA are:

What cities near Ashburn, VA are hiring for Internship Data Visualization jobs?

Cities near Ashburn, VA with the most Internship Data Visualization job openings:

Infographic showing various Internship Data Visualization job openings in Ashburn, VA as of August 2026, with employment types broken down into 1% As Needed, 66% Full Time, 20% Part Time, and 13% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $47,867 per year, or $23 per hour.

Summer 2027 Data Science Intern

The Nuclear Company

Washington, DC

$25/hr

Full-time, Temporary, Internship

Medical, Dental, Vision, Retirement, PTO

Posted 28 days ago


Job description

The Nuclear Company is the fastest growing AI tech-startup in the nuclear and energy space, pioneering a fleet-scale approach to building the next generation of nuclear reactors. Through our design-once, build-many model, we're accelerating the deployment of safe, reliable, and affordable nuclear energy.

We operate with an AI-first mindset. Every employee is expected to leverage AI, technology, and the Nuclear Operating System (NOS) as integral components of their role to improve the quality, speed, and impact of their work. We expect every team member to continuously identify opportunities to automate workflows, enhance decision-making, improve processes, and contribute to the ongoing evolution of NOS as a strategic operating capability that enables The Nuclear Company to scale with excellence.

We hire people who are driven by purpose, thrive in ambiguity, and are energized by building what has never been built before. Our team combines intellectual curiosity with high agency, embraces candid feedback and continuous learning, and holds themselves and others to exceptional standards. Our values-Trust, Responsibility, Unity, Scrappiness, and Tenacity-guide how we hire, collaborate, and make decisions every day. They are not words on a wall; they are the standard by which we operate. Trust is the foundation of our safety culture, fostering intellectual honesty, accountability, and open communication, while our values challenge every team member to execute with urgency, humility, resilience, and an unwavering commitment to our mission.

About the role

The United States is building nuclear power again, and The Nuclear Company is writing the software that makes it possible. NOS, the Nuclear Operating System, runs the regulatory, supply chain, cost, schedule, and field work behind real reactor construction. The work matters for national security, energy independence, and the climate. 

You will turn data into decisions that move a nuclear build forward. As a Data Science Intern, you do the full applied data science job on NOS: frame the question, wrangle the data, build and validate models, and put the answer in front of the people who act on it. You will work on forecasting and decision analysis for megaproject cost and schedule, extend the NOS ontology and data model, and build the analyses and dashboards leaders use to make real calls. You work next to full-time data scientists and ship work that reaches production. 

This is a 12-week Summer 2027 internship (May to August), aligned to the academic calendar. Base location is Washington DC, on-site five days a week, with full housing and relocation for interns outside the DC metro area. 

Responsibilities

  • Frame business and engineering questions with stakeholders, then source, clean, and explore the data needed to answer them. 
  • Build and validate models (forecasting, classification, anomaly detection, decision analysis) for megaproject cost, schedule, and risk. 
  • Engineer features and extend the NOS ontology and data model across regulatory, supply chain, cost, and schedule domains. 
  • Build data pipelines across Palantir Foundry, AWS GovCloud, and more. 
  • Design metrics, dashboards, and analyses that operators, engineers, and executives use to make decisions, and communicate findings clearly. 

Required Experience 

  • Currently pursuing a BS or MS in Data Science, Statistics, Computer Science, Applied Math, or a related quantitative field. Expected graduation between December 2027 and June 2028, and returning to school after the internship. 
  • Strong Python and the data stack (pandas, NumPy, scikit-learn), with working knowledge of SQL. 
  • Foundation in statistics and probability, and a track record of completed data analysis (course, personal, research, or prior internships). 
  • This position requires access to information and technology subject to U.S. export controls (including DOE 10 CFR Part 810 and NRC requirements). U.S. Person status (U.S. citizen or lawful permanent resident) is required, and TNC does not provide visa sponsorship for these roles. 
  • Willing and able to work on-site in Washington DC, five days a week, for the full 12-week program.

Preferred Experience

  • Data visualization and dashboarding; exposure to cloud data warehouses. 
  • Forecasting, time-series, or experimental design. 
  • Coursework or project experience with Palantir Foundry or AWS. 
  • Interest in energy, national security, industrial software, or regulated industries. 
  • Familiarity with nuclear engineering concepts (not required, we teach the domain)

Benefits

  • Competitive compensation packages
  • 401k with company match
  • Medical, dental, vision plans
  • Generous vacation policy, plus holidays

Estimated Starting Salary Range

The estimated starting rate for this role is $25.00 an hour plus a $2,000 monthly housing stipend less applicable withholdings and deductions, paid on a bi-weekly basis. The actual pay offered may vary based on relevant factors as determined in the Company's discretion, which may include experience, qualifications, tenure, skill set, availability of qualified candidates, geographic location, certifications held, and other criteria deemed pertinent to the particular role. 

EEO Statement
The Nuclear Company is an equal opportunity employer committed to fostering an environment of inclusion in the workplace. We provide equal employment opportunities to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We prohibit discrimination in all aspects of employment, including hiring, promotion, demotion, transfer, compensation, and termination.

Export Control
Certain positions at The Nuclear Company may involve access to information and technology subject to export controls under U.S. law. Compliance with these export controls may result in The Nuclear Company limiting its consideration of certain applicants.
 
Recruiting Fraud Alert
Your safety is our priority. We want to ensure your job search stays secure. Please note that the team at The Nuclear Company only communicates through official @thenuclearcompany.com email addresses. We will never ask for payments or sensitive financial information at any stage of our recruitment process. For your peace of mind, please verify all openings and submit your applications directly through our official careers page.