Data Science Intern – Flexible Hours + Housing Support

BWX Technologies, Inc.; Lynchburg (VA); On-site; USD 32,000 - 45,000; Full time

Benefits offered by this job

Housing stipend

Flexible work schedules

Thrift plan (401k) after 3 years

Job summary

BWX Technologies, Inc. in Lynchburg, VA invites a Summer 2027 Data Science Intern to gain hands-on experience in data analysis, machine learning, and analytical modeling within a collaborative team.

You will collect and preprocess large datasets, build ML models using Python libraries, and document methodologies for future reference. A current enrollment in a related degree program is required, with Python and ML concepts familiarity and strong communication skills.

Qualifications

• Must be enrolled in a bachelor’s or master’s degree in Data Science, CS, Math, Statistics, or related field.
• Must be familiar with Python and data manipulation libraries such as Pandas and NumPy.
• Must have a basic understanding of machine learning concepts and frameworks like Scikit-learn or TensorFlow.
• Must have strong analytical and problem-solving skills with attention to detail.
• Must have effective verbal and written communication to present findings.

Responsibilities

• Assist in data collection, cleaning, and preprocessing of large datasets.
• Collaborate with data scientists to develop ML models and analytical solutions.
• Conduct exploratory data analysis to uncover trends and insights for business strategies.
• Document methodologies and results for future reference and team use.
• Participate in team meetings to present findings and contribute to discussions.

Skills

Python proficiency

Analytical skills

Communication skills

Curiosity / willingness to learn

U.S. Citizenship

Education

Bachelor's or Master's in Data Science/CS/Math/Statistics

Tools

Python

Pandas

NumPy

Scikit-learn

TensorFlow

Job description

BWX Technologies, Inc. in Lynchburg, VA invites a Summer 2027 Data Science Intern to gain hands-on experience in data analysis, machine learning, and analytical modeling within a collaborative team.

You will collect and preprocess large datasets, build ML models using Python libraries, and document methodologies for future reference. A current enrollment in a related degree program is required, with Python and ML concepts familiarity and strong communication skills.