Spring 2027 Data Science Intern

The Nuclear Company•Washington, DC

11h•Onsite

About The Position

The Nuclear Company is seeking a Data Science Intern for Spring 2027. This role is a six-month co-op opportunity, running from January to June, aligned with the academic calendar. The intern will work on the Nuclear Operating System (NOS), which is software used for regulatory, supply chain, cost, schedule, and field work in nuclear reactor construction. The intern will be responsible for turning data into decisions that advance nuclear builds, including forecasting and decision analysis for megaproject cost and schedule, extending the NOS ontology and data model, and building analyses and dashboards for leadership. The intern will work alongside full-time data scientists and contribute to production-level work. The position is based in Washington DC, requiring on-site work five days a week. Full housing and relocation assistance are provided for co-ops outside the DC metro area.

Requirements

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.
Willing and able to work on-site in Washington DC, five days a week, for the full six-month term.

Nice To Haves

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).

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.