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Internship Data Scientist Risk Jobs in Washington

The Data Scientist role focuses on developing accurate, scalable data solutions that provide ... model evaluation, and risk-aware deployment of LLM-based solutions. Company : A spatial ...

Data Scientist

Springfield, VA · Remote

$120K - $160K/yr

Data Scientist Schedule: Full-Time Shift: Day Job Travel: No Minimum Clearance Required: TS.SCI ... Support the sustainment of risk scoring tools and other data analysis implementations by ...

Required : • 2+ years of experience in data science in a professional work environment • Experience with machine learning, data mining, statistics, or graph algorithms in academic or internship ...

They are seeking a Data Scientist to provide critical analytic insights to government stakeholders ... model evaluation, and risk-aware deployment of LLM-based solutions. Company : A spatial ...

Evaluate data science, AI, and analytic methods for bias, risk, limitations, and potential distortion of analytic conclusions, and support responsible AI practices. * Execute Test, Evaluation ...

Data Scientist

Springfield, VA · On-site

$120K - $160K/yr

Data Scientist Schedule: Full-Time Shift: Day Job Travel: No Minimum Clearance Required: TS.SCI ... Support the sustainment of risk scoring tools and other data analysis implementations by ...

Evaluate data science, AI, and analytic methods for bias, risk, limitations, and potential distortion of analytic conclusions, and support responsible AI practices. * Execute Test, Evaluation ...

TRSS Data Scientists serve several Federal Law Enforcement agencies by collecting, integrating ... Large Data Modeling: risk modeling, community detection, classification, computer vision, and ...

TRSS Data Scientists serve several Federal Law Enforcement agencies by collecting, integrating ... Large Data Modeling: risk modeling, community detection, classification, computer vision, and ...

Data Scientist

Chantilly, VA · On-site +1

$200K - $240K/yr

Engineering and Sciences Subcategory: Modeling/Sim Engr Schedule: Full-Time Shift: Day Job Travel ... risk, and data-informed tradeoffs. Job Responsibilities to include: * Supports designing and ...

Data Scientist

Mclean, VA · On-site

$125K - $160K/yr

Overview We are looking for seasoned Data Scientist to work with our existing team of Data ... Background or exposure to cybersecurity concepts, especially as they relate to data analysis, risk ...

Minimum of 4 to 6 years relevant experience, including internships, part-time positions, and ... Experience with Dataiku's Data Science Studio Additional Information QxBranch is committed to ...

Minimum of 4 to 6 years relevant experience, including internships, part-time positions, and ... Experience with Dataiku's Data Science Studio Additional Information QxBranch is committed to ...

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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 - Supply Chain Risk Management

Data Scientist - Supply Chain Risk Management

VTG

Washington, DC • On-site

$90K - $120K/yr

Full-time

Posted 23 days ago


Job description

Overview
VTG is seeking a motivated Data Scientist to join our team supporting a program focused on Supply Chain Risk Management (SCRM). The successful candidate will contribute to the development of data-driven insights and analytic solutions that help identify, assess, and mitigate risks in complex supply chains. This position (hybrid role) will report to the Washington Navy Yard in Washington, DC.
What will you do?
  • Apply statistical methods, artificial intelligence, machine learning, and predictive modeling to identify patterns, anomalies, and potential risks
  • Write clean, efficient, and well-documented code in Python leveraging data science libraries (e.g., pandas, NumPy, scikit-learn, PyTorch, TensorFlow)
  • Query, manipulate, and analyze structured and unstructured data from databases (SQL, NoSQL, Hive, etc.)
  • Support data ingestion, processing, and visualization workflows to deliver actionable insights to government stakeholders
  • Collaborate with a cross-functional team of analysts, data engineers, front-end developers, and subject matter experts to deliver mission-critical solutions
  • Present findings through reports, dashboards, and briefings to both technical and non-technical audiences
  • Develop and implement data science solutions to analyze large and complex datasets related to supply chain networks

Do you have what it takes?
Required Qualifications:
  • Bachelor's degree in Data Analytics, Statistics, Economics, Supply Chain Management, Computer Science, or a related field
  • 1-3 years of hands-on experience in data science, analytics, or applied machine learning
  • Strong proficiency in Python and core data science libraries
  • Experience with databases (SQL and/or NoSQL) for querying and analysis
  • Strong problem-solving skills and the ability to communicate technical insights clearly
  • Must have and maintain a Secret clearance-eligible for a Top Secret clearance
  • U.S. citizenship

Desired Qualifications/Skills/Abilities:
  • Background or coursework in Supply Chain Management, Logistics, or Risk Analysis
  • Experience with big data tools (Hadoop, Spark, Hive, etc.)
  • Familiarity with government contracting or defense-related projects
  • Experience developing in Cloudera Data Science Workbench (CDSW)

Travel Requirements:
Minimal travel, mostly in the Washington DC area.
Position contingent upon funding
Pay Range: VTG's estimated starting pay range is $90,000-$120,000 annually, which is a general guideline for the geographic location. When extending an offer, VTG also considers work experience, education, skill level, market considerations and may possibly include contractual requirements which may cause an offer to fall outside of this range.