The Nuclear Company
Spring 2027 Data Science Intern
Washington, DC +1 · Internship · Posted Aug 7, 2026
- Location
- Washington, DC
Washington, District of Columbia, United States - Experience
- Completed data analysis through coursework, personal or research projects, or prior internships; no number of years stated.
- Education
- Currently enrolled in a BS or MS in Data Science, Statistics, Computer Science, Applied Math, or a related quantitative field.
- Visa sponsorship
- U.S. Person status (U.S. citizen or lawful permanent resident) is required; the company does not provide visa sponsorship for these roles.
About the job
Apply data science to nuclear construction by developing models, data pipelines, analyses, and dashboards that support cost, schedule, and risk decisions in production.
What you'll do
- Frame stakeholder questions and source, clean, and explore relevant data.
- Build and validate forecasting, classification, anomaly detection, and decision-analysis models; extend NOS data models and ontology.
- Develop data pipelines, metrics, dashboards, and analyses, and communicate findings to decision-makers.
What they ask for
- Currently enrolled in a BS or MS in Data Science, Statistics, Computer Science, Applied Math, or a related quantitative field; available for a six-month term and returning to school afterward.
- Strong Python and data-stack skills, including pandas, NumPy, and scikit-learn; working knowledge of SQL.
- Foundation in statistics and probability, with completed data analysis experience.
- Able to work on-site in Washington DC five days a week for the full six-month term; U.S. Person status required.
Nice to have
- Data visualization or dashboarding, cloud data warehouse exposure, 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.
Pay
$25.00 an hour (starting rate)
Tools
Python, pandas, NumPy, scikit-learn, SQL, Palantir Foundry, AWS GovCloud, AWS
AI focus
The company expects employees to use AI and technology to automate workflows, improve decision-making and processes, and contribute to the Nuclear Operating System. The role applies data science to forecasting and decision analysis.
Model-written summary · the original posting is authoritative