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.

This is a six-month co-op available in Spring 2027 (January to June), aligned to the academic calendar. Base location is Washington DC, on-site five days a week, with full housing and relocation for co-ops outside the DC metro area.

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 enrolled in a BS or MS in Data Science, Statistics, Computer Science, Applied Math, or a related quantitative field. Available for a full six-month term and returning to school afterward.

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.

Spring 2027 Data Science Intern

Responsibilities

Qualification

Preferred

Benefits

Company

Thenuclearcompany

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