Summer 2027 Data Science Intern

The Nuclear Company; Washington (District of Columbia); On-site; USD 52,000 - 56,000; Full time

Benefits offered by this job

401k with company match

Job summary

The Nuclear Company in Washington, DC is seeking a Data Science Intern to turn data into decisions for NOS-powered megaproject cost and schedule. You will frame questions, wrangle data, build and validate models, and present actionable insights to leaders who act on them.

You’ll work with full-time data scientists, extend the NOS ontology, design dashboards, and ship production-ready analyses on a 12-week Summer 2027 internship with on-site housing and relocation support for interns outside the

Qualifications

• Currently pursuing a BS or MS in Data Science, Statistics, Computer Science, Applied Math, or a related quantitative field.
• Expected graduation between December 2027 and June 2028, and returning to school after the internship.
• 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 12-week program.

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

SQL

pandas

NumPy

scikit-learn

Statistics

Education

BS in Data Science

MS in Data Science

Statistics

Computer Science

Tools

Palantir Foundry

AWS GovCloud

Job description

The Nuclear Companyis the fastest growing AI tech-startup in the nuclear and energy space, pioneering a fleet-scale approach to building the next generation of nuclear reactors. Through our design-once, build-many model, we're accelerating the deployment of safe, reliable, and affordable nuclear energy.

We operate with an AI-first mindset.Every employee is expected to leverage AI, technology, and the Nuclear Operating System (NOS) as integral components of their role to improve the quality, speed, and impact of their work. We expect every team member to continuously identify opportunities to automate workflows, enhance decision-making, improve processes, and contribute to the ongoing evolution of NOS as a strategic operating capability that enables The Nuclear Company to scale with excellence.

We hire people who are driven by purpose, thrive in ambiguity, and are energized by building what has never been built before.Our team combines intellectual curiosity with high agency, embraces candid feedback and continuous learning, and holds themselves and others to exceptional standards. Our values—Trust, Responsibility, Unity, Scrappiness, and Tenacity—guide how we hire, collaborate, and make decisions every day. They are not words on a wall; they are the standard by which we operate. Trust is the foundation of our safety culture, fostering intellectual honesty, accountability, and open communication, while our values challenge every team member to execute with urgency, humility, resilience, and an unwavering commitment to our mission.

About the role

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, andthe climate.

You will turn data into decisions that move a nuclear build forward. As a Data Science Intern, you do the full applied data science job on NOS: framethe question, wrangle the data, build andvalidatemodels, and put the answer in front of the people who act on it. You will work on forecasting and decision analysis for megaproject cost and schedule, extend the NOS ontology and data model, and build the analyses and dashboards leaders use to make real calls. You work next to full-time data scientists and ship work that reaches production.

This is a 12-week Summer 2027 internship (May to August), aligned to the academic calendar. Base location is Washington DC, on-site five days a week, with full housing and relocation for interns outside the DC metro area.

Responsibilities

• Frame business and engineering questions with stakeholders, then source, clean, and explore the data needed to answer them.
• Build andvalidatemodels (forecasting, classification, anomaly detection, decision analysis) for megaproject cost, schedule, and risk.
• Engineer features andextendthe 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 pursuing a BS or MS in Data Science, Statistics, Computer Science, Applied Math, or a related quantitative field. Expected graduation between December 2027 and June 2028, and returning to school after the internship.
• Strong Python and the data stack (pandas, NumPy, scikit-learn), with working knowledge of SQL.
• Foundation in statistics and probability, anda track recordof 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) isrequired, 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 12-week program.

Preferred Experience

• Data visualization and dashboarding; exposure to cloud data warehouses.
• Coursework or project experience with Palantir Foundry or AWS.
• Interest in energy, national security, industrial software, or regulated industries.
• Familiarity with nuclear engineering concepts (notrequired,we teach the domain)
• Competitive compensation packages
• 401k with company match

Estimated Starting Salary Range

The estimated starting rate for this role is $25.00 an hour plus a $2,000 monthly housing stipend less applicable withholdings and deductions, paid on a bi-weekly basis. The actual pay offered may vary based on relevant factors as determined in the Company’s discretion, which may include experience, qualifications, tenure, skill set, availability of qualified candidates, geographic location, certifications held, and other criteria deemed pertinent to the particular role.

EEO Statement
The Nuclear Company is an equal opportunity employer committed to fostering an environment of inclusion in the workplace. We provide equal employment opportunities to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We prohibit discrimination in all aspects of employment, including hiring, promotion, demotion, transfer, compensation, and termination.

Export Control

Certain positions at The Nuclear Company may involve access to information and technology subject to export controls under U.S. law. Compliance with these export controls may result in The Nuclear Company limiting its consideration of certain applicants.