Data Science Intern: Shape Nuclear Build with AI (On-site DC)

The Nuclear Company; Washington, Northern (District of Columbia, KY); Hybrid; USD 34,000 - 44,000; Full time

Benefits offered by this job

Housing provided

Relocation assistance

Job summary

The Nuclear Company is seeking a Data Science Intern for a six-month co-op in Spring 2027 (January to June). Base location is Washington DC, on-site five days a week, with housing and relocation provided for co-ops outside the DC metro area.

You will frame questions, wrangle data, build and validate models, and deliver analyses and dashboards that inform megaproject cost and schedule decisions, working alongside full-time data scientists to ship production-ready work.

Qualifications

• Currently enrolled in a BS or MS in Data Science, Statistics, Computer Science, Applied Math, or a related quantitative field.
• Strong Python and the data stack (pandas, NumPy, scikit-learn), with working knowledge of SQL.
• Foundation in statistics and probability with a track record of data analysis.

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.

Skills

Python

Pandas

NumPy

scikit-learn

SQL

Statistics

Data analysis

Education

BS or MS in Data Science/Statistics/CS/Applied Math

Tools

Palantir Foundry

AWS

Job description

The Nuclear Company is seeking a Data Science Intern for a six-month co-op in Spring 2027 (January to June). Base location is Washington DC, on-site five days a week, with housing and relocation provided for co-ops outside the DC metro area.

You will frame questions, wrangle data, build and validate models, and deliver analyses and dashboards that inform megaproject cost and schedule decisions, working alongside full-time data scientists to ship production-ready work.