Nuclear Engineering Data Scientist

About BWXT Technologies, Inc.

BWXT is a U.S.-based Fortune 1000 and Defense News Top 100 manufacturing and engineering innovator providing nuclear solutions for global security, clean energy, environmental restoration, nuclear medicine, and space exploration. With over 7,800 employees and 14 major sites in the U.S., Canada, and the U.K., BWXT manufactures naval nuclear reactors for U.S. submarines and aircraft carriers and supplies components and fuel for the commercial nuclear power industry.

Welcome to BWXT

BWXT empowers employees and fosters a dynamic workplace for growth and collaboration. Opportunities exist for experienced professionals and those starting their careers to contribute to nuclear innovation. BWXT's Advanced Technologies group researches and develops innovative nuclear reactors, rocket propulsion systems, and radioisotope production systems.

Position Overview

As a Nuclear Engineering Data Scientist, you will apply advanced machine learning, hybrid modeling, and uncertainty quantification to complex nuclear engineering problems. This role suits candidates with strong research backgrounds and experience integrating AI into engineering workflows.

Location

This position is based on-site in Lynchburg, VA at the Advanced Technologies Office.

Your Day to Day as a Nuclear Engineering Data Scientist

• Develop and deploy machine learning models including DNNs, CNNs, and BNNs for nuclear engineering problems.
• Design hybrid modeling frameworks combining physics-based and data-driven approaches.
• Implement uncertainty quantification techniques like ensembling and Bayesian methods.
• Optimize nuclear engineering processes using AI methodologies such as transfer learning and generative models.
• Collaborate with teams to integrate ML models into nuclear engineering tools.
• Lead data augmentation, synthetic data generation, and domain adaptation efforts.

Required Qualifications

• Bachelor's degree in Nuclear Engineering, Computer Science, or related field with focus on machine learning and AI.
• Minimum 10 years of relevant experience.
• Expertise in deep learning frameworks such as TensorFlow and PyTorch.
• Proficiency in Python, C++, and MATLAB.
• Experience with nuclear codes: MCNP, Serpent, OpenMC, and CTF.
• Ability to develop and validate hybrid modeling techniques.
• Familiarity with uncertainty quantification and transfer learning.
• Strong publication record in AI and nuclear engineering.
• Excellent communication skills.
• U.S. citizenship required.
• Ability to obtain and maintain DOE or DOD security clearance.

Preferred Qualifications

• Ph.D. or M.Sc. in Nuclear Engineering, Computer Science, or related field.
• Experience integrating machine learning into nuclear engineering workflows.
• Knowledge of optimization methods for reactor design and fuel cycle analysis.
• Familiarity with generative models like CVAE for synthetic data generation.

What We Offer

• Competitive salary and benefits including health, dental, and retirement plans.
• Flexible work schedules and paid time off.
• Professional development, mentorship, and continuing education sponsorship.
• Inclusive atmosphere supporting collaboration.
• Mission-driven organization impacting the future of energy.
• Opportunities for continuous learning and career growth.

Salary

The base salary range for this position in Virginia is $86,000.00 to $136,000.00 per year, subject to candidate qualifications and market factors.

Additional Information

• All candidates must be U.S. citizens.
• Pre-employment checks and drug screening required.
• Position may require federal security clearance.
• BWXT is an Equal Employment Opportunity employer.
• No visa sponsorship is available for this position.