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Credit Risk Data Science Jobs in Gainesville, VA

GRVTY

Data Scientist - Senior

Springfield, VA · On-site

Support risk scoring models, operational analytics, and insider threat or mission assurance ... Master's degree in Data Science, Statistics, Business, or related field preferred. * Expert ...

Rividium Inc

Data Scientist- Senior

Quantico, VA · On-site

... science projects, preferably in areas such as risk modeling, real-time analytics, performance ... data visualization tools and techniques • Strong knowledge of machine learning algorithms ...

Rividium Inc

Data Scientist- Senior

Quantico, VA · On-site

... science projects, preferably in areas such as risk modeling, real-time analytics, performance ... data visualization tools and techniques • Strong knowledge of machine learning algorithms ...

ManTech

Senior Data Scientist

Springfield, VA

Apply expert knowledge of industry-standard data science principles to identify anomalous events ... Risk and Performance Analytics: Own the development and maintenance of sophisticated risk-scoring ...

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All JobsCredit Risk Data Science JobsCredit Risk Data Science Jobs in Gainesville, VA

Credit Risk Data Science information

See Gainesville, VA salary details

$36.5K

$112.4K

$195K

How much do credit risk data science jobs pay per year?

As of Aug 10, 2026, the average yearly pay for credit risk data science in Gainesville, VA is $112,444.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,500.00 and $138,700.00 per year, depending on experience, location, and employer.

How does a credit risk data scientist typically collaborate with other teams within a financial institution?

Credit Risk Data Scientists often work closely with credit analysts, risk managers, and IT professionals to develop, validate, and implement models that assess borrower risk. They frequently participate in cross-functional meetings to translate complex analytical findings into actionable business insights. Collaboration with compliance and regulatory teams is also common to ensure that risk models meet current regulatory standards. Effective communication and teamwork are essential, as the role bridges technical model development and practical risk management decisions.

What is credit risk data science?

Credit Risk Data Science is a specialized field that uses statistical analysis, machine learning, and data modeling techniques to assess and predict the likelihood that a borrower will default on a loan or credit obligation. Professionals in this field analyze large datasets from financial transactions, credit reports, and market trends to develop models that help financial institutions make informed lending decisions. Their work helps manage risk, set appropriate interest rates, and comply with regulatory standards. By leveraging advanced analytics, credit risk data scientists play a crucial role in minimizing losses and maximizing profitability for banks and lenders.

What skills and qualifications are needed to thrive as a credit risk data scientist?

To thrive as a Credit Risk Data Scientist, you need strong analytical skills, proficiency in statistical modeling, and a solid background in finance, mathematics, or a related field, often supported by an advanced degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of credit risk modeling tools such as SAS or SQL are typically required. Critical thinking, attention to detail, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These abilities are crucial for building accurate risk models, informing strategic decisions, and ensuring regulatory compliance in financial institutions.
What cities near Gainesville, VA are hiring for Credit Risk Data Science jobs? Cities near Gainesville, VA with the most Credit Risk Data Science job openings:
Credit Risk Data Science jobs near you

Data Scientist

Science Applications International Corporation

Chantilly, VA

Full-time

Re-posted 8 days ago

SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

78th of 223 rated it services

Job description

SAIC is hiring a Data Scientist to deliver Systems Engineering Technical Advisor (SETA) support a program based in Chantilly, VA. This role will contribute to the National Reconnaissance Office's (NRO) Ground Enterprise Directorate (GED), which oversees the acquisition and lifecycle management of systems from inception to deployment and operations.

As the Data Scientist you will support the analysis of complex data to drive strategic mission efforts. The role supports the resolution of operational and systems problems into data-driven solutions, guides analytic strategy, and advises leadership on mission impact, model risk, and data-informed tradeoffs.

Job Responsibilities to include:

  • Supports designing and managing data sets to ensure efficient data flow and interoperability with existing and emerging programs.
  • Supports the collection and integration of large, complex data sets that meet cross-organizational requirements.
  • Evaluates data quality, reliability, and efficiency throughout the data lifecycle.
  • Collaborating with other data scientists, software developers, operators, project managers, and clients to prepare data for predictive modeling.
  • Documents internal process improvements to optimize data delivery and automate manual processes.
  • Supports testing and validation procedures to ensure operational platforms function correctly, including the ability to gather user feedback, identify issues, conduct updates, and perform routine quality assurance checks.
  • Supports the development of essential technical documentation for reference and reporting, which includes documenting processes, system specifications, and modifications.
  • Supports data compliance with regulations, develop guidance, and promote ethical use of developed platforms, data repositories, and relevant technical records.
SAIC is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.

We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

Required Education and Experience:

  • Bachelors and nine (9) years or more experience; Masters and seven (7) years or more experience ; PhD or JD and four (4) years or more experience. Relevant experience to be substituted in lieu of degree. 
  • 5+ years of experience in software engineering with IC, DoD, and/or commercial space architectures, systems, and/or operations.
  • Hands-on practical experience with data analytics, machine learning, and statistical methods.
  • Experience in applying modern techniques in artificial intelligence (AI), data science, machine learning (ML), or statistics.
  • Demonstrated high level of initiative, creative problem-solving, and critical thinking.
  • Demonstrated capability and success working in team environments.
  • Strong oral and written communications ability on significant technical matters often requiring coordination within a high tempo environment.
  • Good working knowledge of MS Office applications.

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