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Internship Data Scientist Risk Jobs in Washington, DC

Analygence

Data Scientist

Arlington, VA · On-site

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 ...

Elder Research

Data Scientist

Arlington, VA · On-site

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 ...

Elder Research

Data Scientist

Arlington, VA

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 ...

Analygence

Data Scientist

Arlington, VA · On-site

Design, build, and sustain analytical models that support COA analysis, risk prioritization ... data science and application development activities.

TAD PGS, Inc.

Data Scientist

Washington, DC · On-site

$52.88 - $57.69/hr

  • Medical

  • Retirement

... 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 ...

TAD PGS, Inc

Data Scientist

Washington, DC · On-site

$52.88 - $57.69/hr

  • Medical

  • Retirement

... 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 ...

Bigbear.ai

Data Scientist

Mclean, VA · Remote

$142K - $228K/yr

Overview The Data Scientist designs and builds the v1 rule-weighted composite scoring logic that turns normalized risk signals into a transparent, defensible score. This role also prepares the ...

New

Govcio LLC

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

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site +1

  • Medical

  • Life

  • Retirement

  • PTO

... 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 ...

Booz Allen Hamilton

Data Scientist

Alexandria, VA

  • Medical

  • Life

  • Retirement

  • PTO

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 ...

Booz Allen Hamilton

Data Scientist

Alexandria, VA · On-site

  • Medical

  • Life

  • Retirement

  • PTO

... 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 ...

ShiftCode Analytics, Inc.

Data Scientist

Reston, VA · On-site

ShiftCode Analytics, Inc. is seeking a Data Scientist to work onsite in Reston, VA. The role ... Preferred : • Background in risk modeling, financial services, or product analytics. • ...

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site

  • Medical

  • Life

  • Retirement

  • PTO

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 ...

Bigbear.ai

Data Scientist

Mclean, VA · On-site

$142K/yr

... risk signals into a transparent, defensible score. This role also prepares the scoring approach and ... The ideal candidate blends practical applied data science with strong judgment around ...

Staffed4U

Data Scientist

Linthicum Heights, MD · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Data Scientist Location: Linthicum Heights, MD Work Schedule: Full-Time Clearance Required: Active ... Identify outliers and trends to help track systems as they move through the Risk Management ...

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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 Aug 15, 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 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.

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 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:

Internship Data Scientist Risk jobs near you
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.

Data Scientist

Analygence

Arlington, VA • On-site

Full-time

Posted 26 days ago

Job description

Description
Tharros is actively pursuing an opportunity to support the Air Force Mission Assurance Construct Support (MACS) program, providing mission analysis, base assessment support, and data platform management services that strengthen the Air Force's Mission Assurance Construct.
Tharros is seeking a Data Scientist to serve as the program's senior analytical authority, leading development and application of advanced data science methods, analytical models, and Palantir Foundry applications in direct support of Mission Assurance decision-making. Where the Senior Solutions Architect provides architectural stewardship over the data infrastructure layer, the Senior Data Science Consultant leads to the analytical application layer building sophisticated models, developing Foundry applications, and providing expert consultation on how Mission Assurance data can be exploited to inform senior-leader decisions at enterprise scale. This individual works independently on high-visibility and mission-critical analytical efforts and may oversee the work of Data Analysts, Data Managers, and Workflow Support Specialists on assigned analytical development activities.
Key Responsibilities
  • Lead development and application of advanced data science, AI/ML, statistical modeling, predictive analytics, and automation methods to extract actionable insights from Mission Assurance assessment reports, dependency data, risk records, and related stakeholder documentation.
  • Design, build, and sustain analytical models that support COA analysis, risk prioritization, dependency mapping, mitigation effectiveness evaluation, ROI-based decision support, and enterprise-level Mission Assurance risk visibility.
  • Lead development of Mission Assurance analytical applications within Palantir Foundry, including decision-support tools, risk monitoring applications, COA comparison interfaces, dashboards, and governance preparation products.
  • Support implementation, sustainment, scaling, lifecycle management, documentation, and quality assurance of Mission Assurance data workflows, analytical models, and Foundry applications.
  • Provide senior analytical consultation to AF/A33B on how Mission Assurance data can be structured, modeled, automated, and exploited to improve decision-support products for senior Air Force and Department of War leaders.
  • Develop analytical products, dashboards, monitoring views, and interfaces that provide accurate, timely Mission Assurance information and support integration with relevant Air Force, Joint, or Department of War reporting systems.
  • Aggregate, normalize, prioritize, and analyze Mission Assurance risks and dependencies at enterprise scale to identify trends, systemic vulnerabilities, recurring dependencies, cross-mission risk drivers, and resource implications.
  • Prepare decision-support briefings, risk summaries, analytical products, and COA comparison outputs for Mission Assurance governance forums, including MACBs, SSGs, and senior-leader decision cycles.
  • Coordinate analytical development activities using Government-directed collaboration and task management platforms, including Platform One, Mattermost, Jira, and Confluence, while documenting methods, findings, and product delivery.
  • Provide technical leadership, quality review, knowledge transfer, and analytical guidance to Data Analysts, Data Managers, Workflow Support Specialists, the Program Manager, and the Senior Solutions Architect on assigned data science and application development activities.

Requirements
  • Master's degree
  • Active TS, eligible for SCI
  • More than ten years of professional experience in any career field, discipline, or industry.
  • Ability to perform functional duties independently and provide technical oversight to less senior staff assigned to data science and application development activities.
  • Palantir Foundry Application Developer Certification.
  • Demonstrated experience developing analytical applications within Palantir Foundry or comparable enterprise data platforms, including design, build, testing, sustainment, and documentation of decision-support tools and analytical interfaces.
  • Demonstrated experience applying advanced data science methods, including AI/ML, statistical modeling, predictive analytics, or automation, to operational or mission-focused analytical problems in a Department of
  • Defense environment.
  • Experience developing ROI-based analytical models, COA comparison frameworks, risk prioritization approaches, or comparable decision-support products for senior military or civilian leadership.
  • Experience providing senior analytical consultation to Government program leadership on data science methods, model design, analytical product strategy, and decision-support modernization.

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