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Internship Data Scientist Risk Jobs in Washington, DC

Tharros is seeking a Data Scientist to serve as the program's senior analytical authority, leading ... Design, build, and sustain analytical models that support COA analysis, risk prioritization ...

As a Data Scientist, you will support the Internal Revenue Service's mission to improve tax compliance, fraud detection, and risk identification across large, complex tax and financial data ...

As a Data Scientist, you will support the Internal Revenue Service's mission to improve tax compliance, fraud detection, and risk identification across large, complex tax and financial data ...

As a Data Scientist, you will support the Internal Revenue Service's mission to improve tax compliance, fraud detection, and risk identification across large, complex tax and financial data ...

As a Data Scientist, you will support the Internal Revenue Service's mission to improve tax compliance, fraud detection, and risk identification across large, complex tax and financial data ...

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Showing results 1-20

Internship Data Scientist Risk information

See Washington, DC salary details

$52.1K

$186.9K

$275.8K

How much do internship data scientist risk jobs pay per year?

As of Sep 14, 2026, the average yearly pay for internship data scientist risk in Washington, DC is $186,899.00, according to ZipRecruiter salary data. Most workers in this role earn between $151,200.00 and $192,500.00 per year, depending on experience, location, and employer.

What does an internship data scientist risk do?

An Internship Data Scientist Risk assists in analyzing data to identify, assess, and mitigate risks within an organization, often in fields like finance, insurance, or technology. They work with senior data scientists to build predictive models, analyze trends, and generate insights that support risk management strategies. Typical tasks include data cleaning, statistical analysis, and reporting findings to help the company make informed decisions. This internship provides hands-on experience with real-world data and risk scenarios, preparing interns for more advanced data science or risk analysis roles.

What types of projects can an internship data scientist risk expect to work on, and how do these contribute to the organization's goals?

Internship data scientists in risk typically work on projects such as developing predictive models to assess credit risk, analyzing transaction data to detect fraud, and generating insights to improve risk management strategies. These assignments often involve collaborating with experienced data scientists, risk analysts, and business teams to ensure that models are both accurate and actionable. By contributing to these projects, interns help the organization make informed decisions that minimize financial losses and ensure regulatory compliance. The hands-on experience not only builds technical skills but also provides valuable exposure to real-world challenges in the risk domain.

What are the key skills and qualifications needed to thrive as an internship data scientist risk, and why are they important?

To thrive as an Internship Data Scientist in Risk, you need a solid understanding of statistics, data analysis, and programming languages like Python or R, often supported by coursework in mathematics, data science, or a related field. Familiarity with machine learning libraries (e.g., scikit-learn), data visualization tools, and database management systems is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help distinguish candidates in this role. These skills are vital for accurately analyzing risk data, developing predictive models, and clearly presenting findings to support risk management decisions.

How much does an internship data scientist risk earn?

An internship data scientist risk typically earns between $15 and $25 per hour, depending on the company, location, and level of education. Internships often provide valuable experience in data analysis, programming, and risk assessment tools like Python or R. Compensation varies based on industry and whether the internship is paid or unpaid.

What are the most commonly searched types of Data Scientist Risk jobs in Washington, DC?

The most popular types of Data Scientist Risk jobs in Washington, DC are:

Infographic showing various Internship Data Scientist Risk job openings in Washington, DC as of June 2026, with employment types broken down into 66% Full Time, 26% Part Time, and 8% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $186,899 per year, or $89.9 per hour.

Summer Associate Internship (Data Scientist)

Vienna, VA • On-site

Navy Federal Credit Union
Finance and Insurance • 10K+ employees

$59K - $59K/yr

Full-time

Posted 5 days ago


Navy Federal Credit Union rating

8.1

Company rating: 8.1 out of 10

Based on 276 frontline employees who took The Breakroom Quiz


Job description


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.
Responsibilities
  • 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

Qualifications
  • 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

About Us
Navy Federal provides much more than a job. We provide a meaningful career experience, including a culture that is energized, engaged and committed; and fierce appreciation for our teams, who are rewarded with highly competitive pay and generous benefits and perks.
Our approach to careers is simple yet powerful: Make our mission your passion.
  • FORTUNE 100 Best Companies to Work For® 2025
  • Yello and WayUp Top 100 Internship Programs
  • Computerworld® Best Places to Work in IT
  • Newsweek Most Loved Workplaces
  • 2025 PEOPLE® Companies That Care
  • Newsweek Most Trustworthy Companies in America
  • Military Times 2025 Best for Vets Employers
  • Best Companies for Latinos to Work for 2025
  • Forbes® 2025 America's Best Large Employers
  • Forbes® 2025 America's Best Employers for New Grads
  • Forbes® 2025 America's Best Employers for Tech Workers
  • 2025 RippleMatch Campus Forward Award Winner for Overall Excellence
  • Military.com Top Military Spouse Employers 2025
  • 2025 Handshake Early Talent Award

From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of, Navy Federal Credit Union.
Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to age, race, sex, color, religion, national origin, disability, veteran status, pregnancy, sexual orientation, genetic information, gender identity or any other basis protected by applicable law.
Accommodations: If you need accommodation or assistance for a qualifying condition to complete the online application (or during any stage of the hiring process), you can contact Navy Federal's Medical Accommodations team at medicalaccommodations@navyfederal.org or by calling 1-888-503-6013. This team cannot provide any information on job postings or application status.
Disclaimers: Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team's discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position. For additional details regarding compensation and benefits, review the Benefits page of the Navy Federal Career Site.
Protect Yourself from Job Scams: Navy Federal Credit Union jobs are posted on our career site, jobs.navyfederal.org and reputable job boards (e.g., LinkedIn, Indeed). We do not post jobs on social media marketplaces, messaging apps or unverified websites. We will never ask candidates for payment, bank details or personal financial information during the hiring process.
Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.

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About Navy Federal Credit Union

Sourced by ZipRecruiter

Navy Federal Credit Union, based in Vienna, Virginia, United States, is a significant player in the financial services industry. Their official website is navyfederal.org. With its roots dating back to 1933, it was initially established to provide credit to Navy members. Over the years, Navy Federal has magnified its scope, evolving into a full-service credit union serving all branches of the military, the Department of Defense, veterans, and their families. The company’s core values include integrity, service, education, and leadership. Navy Federal aims to be the most preferred and trusted financial institution serving the military and their families.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Vienna, VA, US

Year founded

1933