Summer Associate Internship (Data Scientist)
Fa Etbx Saasfaprod1 Open At a glance
Junior Data Science role at Fa Etbx Saasfaprod1. Vienna · full-time.
Pay not stated Data Science salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and assess models, then use member, financial and organizational data to guide decisions
- Create dashboards and visualizations that track trends and make analytical results clear
- Prepare raw data for analysis and reporting, and automate processes that can be streamlined
- Develop and refine approaches for underwriting, pricing and portfolio monitoring
- Work with colleagues and stakeholders to deliver analytical solutions to business problems
What you bring
- You are pursuing a quantitative degree and expect to graduate in December 2027 or later
- You can code in Python, R, Scala or Spark, and use SQL to work with data
- You can turn raw data into clear dashboards and explain findings through data storytelling
- You can understand complex business questions and shape them into analytical work
Who this fits
This internship suits a current undergraduate or graduate student who can contribute to data science projects during a twelve-week summer term, from May through August 2027. The role is based in Vienna, Virginia, with weekday hours from 8:00 AM to 4:30 PM.
From the employer
The Credit Risk Strategy & Analysis team consists of analysts, modelers, and data scientists who develop analytical solutions and recommend strategies that support maximizing the net profitability of Lending portfolios while managing credit risk and serving members. This is done through the development of credit card line assignment and line increase strategies, pricing models for the consumer loan portfolio, and other analytical efforts.
The team is looking for a Data Scientist Summer Associate to participate in projects and efforts related to enhanced analytics tracking, model building, dashboarding, or automation.
Work includes but is not limited to:
- Providing independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for various areas of the organization.
- Creating descriptive, predictive, and prescriptive models and insights to drive impact across the organization.
The Summer Associate Program is a 12-week internship program beginning in May 2027 and ending in August 2027. Students will work on impactful projects and meaningful work during their internship. To qualify for this position, applicants must be currently pursuing a degree from an accredited college or university and have an anticipated graduation date of December 2027 or later.
- Use modern technologies like Python, R, Scala, and Spark to analyze large data sets
- Provide insights and solutions to solve business problems
- Manage and analyze big data to build impactful data models
- Evaluate and improve model design and performance
- Collaborate with team members and stakeholders to deliver solutions
- Transform data into useful formats for decision-making
- Create visualizations and dashboards to monitor trends
- Conduct model validations and assess performance
- Create reports to assist with business planning and strategy
- Lead initiatives to streamline or automate processes
- Develop and refine strategies for underwriting, pricing, and/or portfolio monitoring
- Currently pursuing an undergraduate or graduate degree in Data Science, Statistics, Economics, Mathematics, Computer Science, Engineering, or another quantitative field
- Ability to understand complex business problems and define analytical solutions
- Coding experience with Python, R, Scala, or Spark as well as SQL
- Ability to manipulate raw data within visualization tools to create effective dashboards that communicate end-to-end data outcomes visually
- Proficiency in storytelling with data skills
- Strong verbal, interpersonal and written communication skills
- Familiarity using GitHub for documentation and code collaboration purposes
- Familiarity with Databricks
- Familiarity using Copilot or other AI agents to perform tasks
Additional Information
Hours:
- Monday - Friday, 8:00 AM - 4:30 PM
Location:
- 820 Follin Lane, Vienna, VA 22180
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