About the role
About the role
The United States is building nuclear power again, and The Nuclear Company is writing the software that makes it possible. You will work on the Nuclear Operating System (NOS), which runs the regulatory, supply chain, cost, schedule, and field work behind real reactor construction. As a Data Science Intern, you will turn data into decisions that move a nuclear build forward. You will frame questions, wrangle data, build and validate models, and put answers in front of the people who act on them. You will work alongside full-time data scientists and ship work that reaches production.
What you'll do
- Frame business and engineering questions with stakeholders, then source, clean, and explore the data needed to answer them.
- Build and validate models, including forecasting, classification, anomaly detection, and 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 other infrastructure.
- Design metrics, dashboards, and analyses that operators, engineers, and executives use to make decisions.
What you'll need
- 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, with plans to return to school after the internship.
- Strong proficiency in Python and the data stack (pandas, NumPy, scikit-learn), with working knowledge of SQL.
- A foundation in statistics and probability, plus a track record of completed data analysis (course, personal, research, or prior internships).
- U.S. Person status (U.S. citizen or lawful permanent resident) is required due to export control requirements.
Location & details
- Term: Summer 2027 (12 weeks, May to August).
- Location: Washington, DC.
- Modality: On-site, five days a week.
- Employment: Full-time.
- Compensation: $25.00 per hour, plus a $2,000 monthly housing stipend.