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Internship Data Scientist Risk Jobs in Washington

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 Services mission to improve tax compliance, fraud detection, and risk identification across large, complex tax and financial data ...

Data Scientist

Washington, DC · On-site

$52.88 - $57.69/hr

... predictive risk models backed by statistical analysis and supports data-driven solutions ... Experience with data science tools and software such as Microsoft Power BI, Anaconda, and ...

... predictive risk models backed by statistical analysis and supports data-driven solutions ... Experience with data science tools and software such as Microsoft Power BI, Anaconda, and ...

Data Scientist

Fort George G Meade, MD · On-site

$156K - $176K/yr

Early data science input during IOC ensures that data collected will be suitable for downstream AI development, reducing risk and accelerating capability maturation during follow-on implementation

... risk, and develop courses of action. Employ expert judgment, adaptable methodologies, repeatable ... As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set ...

Data Scientist

Alexandria, VA · On-site

$99K - $225K/yr

Data Scientist The Opportunity: In this role, you will apply data science techniques and met hods ... risk, and develop courses of action. Employ expert judgment, adaptable met hodologies, repeatable ...

... risk, and develop courses of action. Employ expert judgment, adaptable met hodologies, repeatable ... As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set ...

Data Scientist The Opportunity: In this role, you will apply data science techniques and methods ... risk, and develop courses of action. Employ expert judgment, adaptable methodologies, repeatable ...

Data Scientist The Opportunity: In this role, you will apply data science techniques and methods ... risk, and develop courses of action. Employ expert judgment, adaptable methodologies, repeatable ...

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Internship Data Scientist Risk information

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 are the key skills and qualifications needed to thrive as an Internship Data Scientist in 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.

What types of projects can an internship data scientist in 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 most commonly searched types of Data Scientist Risk jobs in Washington? The most popular types of Data Scientist Risk jobs in Washington are:
Infographic showing various Internship Data Scientist Risk job openings in Washington as of June 2026, with employment types broken down into 66% Full Time, 26% Part Time, and 8% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution.
Data Scientist / Risk Modeling Lead

Data Scientist / Risk Modeling Lead

eTelligent Group LLC

Washington, DC • On-site

Full-time

Posted 9 days ago


Job description

Company Overview:
Over the past 15 years, eTel has delivered essential solutions for the federal government by securing and managing data, providing scalable identity access, modernizing legacy systems, and building high-performance platforms. By integrating new technologies and ensuring reliable operations we help agencies stay prepared for future challenges As a premier technology solutions and services company to the US federal government, eTel possesses longstanding relationships across the federal civilian marketplace. Other customers include the broader Treasury Department, Commerce Department, and State Department.
eTel offers integrated CMMI Level 3 processes, tools, and techniques with innovative, cost-efficient, and secure solutions to address complex challenges. eTel also holds ISO 9001:2015, ISO/IEC 27001:2013, and ISO/IEC 20000-1:2018 certifications, and offers dedicated subject matter experts (SMEs) and thought leaders that possess a deep understanding of customers' environments and challenges.
Place of Performance: Remote
Citizenship: US Citizen (MUST)
Security Clearance: Must be eligible to possess MBI (IRS Background Investigation) clearance. Active IRS MBI clearance is preferred.
Role Summary:
Leads the data-science and risk-analytics workstream supporting Safeguards' risk-based review selection. Builds and maintains the models, scripts, and dashboards that rank partner agencies by risk and inform which agencies are selected for review.
Key Responsibilities:
  • Maintain and operate data fields, code, and scripts that analyze review-finding data and its relationship to Risk Model outputs and Health Score calculations.
  • Revise and maintain formulas and macros that provide weighted evaluations of risk factors.
  • Perform data aggregation to identify the most "at-risk" agency partners, including manual validation of automated rankings.
  • Develop and maintain the Risk Dashboard - findings, risk levels, rankings, remediation status, and historical trends - with clear visualizations for the Risk Team.
  • Support the Quarterly Risk Team Meetings and maintain the Risk Support Work Plan.

Core Experience (Required):
  • Demonstrated experience applying scientific methods, processes, algorithms, and systems to extract or extrapolate insights from structured and unstructured data across multiple application domains.
  • Demonstrated use of automation and scripting techniques.
  • Experience presenting analytic results to management and non-technical personnel.

Minimum Education: Bachelor's degree or higher in accounting, mathematics, engineering, finance, economics, and/or data science from an accredited college or university.
Specialized Skills (Required): • Tableau • R programming • Python 3 • VBA.
Commitment to Diversity -
eTelligent Group provides equal employment opportunities (EEO) to all applicants without regard to race, color, religion, gender, sexual orientation, gender identity, nations origin, age, disability, genetic information, marital status, amnesty, status as a covered veteran, and any other characteristic provided in accordance with applicable, federal, state and local laws.