Nuclear Data Science Intern: Forecasting & Analytics (DC)

The Nuclear Company

Washington (District of Columbia)

On-site

USD 33,000 - 39,000

Full time

14 days+

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Benefits offered by this job

Housing provided
Relocation support

Job summary

The Nuclear Company in Washington, DC is seeking a Data Science Intern for a six-month co-op (Spring 2027). You will perform end-to-end data science on NOS, framing questions, wrangling data, building models, and delivering analyses to decision-makers.

Responsibilities include forecasting megaproject cost/schedule, extending the NOS data model, and shipping dashboards used by leadership. On-site five days a week with housing and relocation support available.

Qualifications

  • 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.

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.

Skills

Python
Pandas
NumPy
Scikit-learn
SQL
Statistics

Education

BS/MS in Data Science/CS/Statistics

Tools

Palantir Foundry
AWS GovCloud

Job description

The Nuclear Company in Washington, DC is seeking a Data Science Intern for a six-month co-op (Spring 2027). You will perform end-to-end data science on NOS, framing questions, wrangling data, building models, and delivering analyses to decision-makers.

Responsibilities include forecasting megaproject cost/schedule, extending the NOS data model, and shipping dashboards used by leadership. On-site five days a week with housing and relocation support available.

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