About the role#
The Nuclear Company is building the software that enables the next generation of nuclear reactor construction. Our Nuclear Operating System (NOS) manages the regulatory, supply chain, cost, and schedule requirements for these projects. You will work alongside full-time data scientists to turn data into actionable decisions that move nuclear builds forward. This is a six-month co-op position for the Spring 2027 term, running from January to June.
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 for megaproject cost, schedule, and risk, including forecasting, classification, anomaly detection, and decision analysis.
- 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, and communicate findings clearly.
What you'll need#
- Current enrollment in a BS or MS program in Data Science, Statistics, Computer Science, Applied Math, or a related quantitative field.
- Strong proficiency in Python and the data stack, including pandas, NumPy, and scikit-learn, with working knowledge of SQL.
- A solid foundation in statistics and probability, plus a track record of completed data analysis from coursework, personal projects, research, or prior internships.
- Ability to work on-site in Washington, DC, five days a week for the full six-month term.
- U.S. Person status (U.S. citizen or lawful permanent resident) is required for this role.
Location & details#
- This position is based on-site in Washington, DC.
- The internship is a full-time, six-month commitment for the Spring 2027 term.
- This role is paid and does not offer visa sponsorship.
How to get in at The Nuclear Company
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