Summer Intern- Analytics Developer

Langley Federal Credit Union has proudly served members since 1936, offering financial solutions to help individuals and families reach their goals. This summer, we're excited to continue our 10-week Summer Internship Program-an opportunity for motivated college juniors, seniors and graduates to gain hands-on experience in the financial industry. Full Time (40 hours/week) attendance will be required, on site in Newport News, VA, from Monday June 1 - Friday August 7.

Why Intern with Langley Federal Credit Union?

• Work on meaningful projects, collaborate with experienced professionals in a learning-rich environment.
• Interns are welcomed as part of the team, with a focus on inclusion, respect, and belonging.
• Gain real-world experience in the financial services industry with a respected credit union.
• Develop skills and build a network in a supportive, team-oriented environment.
• Provided networking and professional development opportunities.

Internship Overview

Provides analytical and predictive modeling support for Langley Federal Credit Union's Success Sharing initiative by delivering one production-ready predictive model aligned to a single organizational goal. Supports data-driven decision-making through analysis of data, development of actionable insights, and clear communication of results. Contributes to an organizational goal by enabling targeted outreach through applied data science.

Essential Functions, Duties, and Responsibilities:

• Develops one predictive model in Python that estimates members likelihood to an organizational goal using data warehouse inputs.
• Extracts, prepares, and analyzes member behavioral data using SQL and Python to support modeling objectives.
• Performs exploratory data analysis to uncover key drivers of member behavior and guide effective feature engineering.
• Engineers features and evaluates a limited set of candidate models, selecting a single final model based on defined performance metrics.
• Validates model performance using a fixed train/test split and produces documented evaluation results.
• Creates reproducible scripts or notebooks and a documented batch scoring process for the member population.
• Documents model purpose, data sources, assumptions, limitations, risks, and recommended next steps.
• Prepares and delivers a final presentation communicating predictive insights and business recommendations to technical and non-technical stakeholders.

Qualifications:

• Enrollment in or recent completion of a bachelor's degree in data science, analytics, computer science, statistics, or a related field required, or an equivalent combination of education and experience.
• Experience processing large amounts of structured and unstructured data preferred.
• Beginner to intermediate experience with the following:
  
  
  
  • Using Python for data analysis or modeling required.
  • Writing SQL queries against relational databases required.
  • Exposure to statistical modeling or machine learning concepts preferred.
  • Familiarity with Python libraries such as pandas and scikit-learn preferred.
  
  
  
  

Apply Today!

Interested candidates should submit the following materials:

Resume

Optional: Transcript or additional supporting materials

Submit Application on Langley's Career Site: