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Safety Fraud Analyst Jobs in Virginia (NOW HIRING)

BOOZ, ALLEN & HAMILTON, INC.

Logistics Analyst

Lorton, VA · On-site

$86K - $198K/yr

In this role, you'll use your logistics and materials expertise to contribute to the safety of the ... We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI ...

BOOZ, ALLEN & HAMILTON, INC.

Logistics Analyst

Fairfax, VA · On-site

$86K - $198K/yr

In this role, you'll use your logistics and materials expertise to contribute to the safety of the ... We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI ...

BOOZ, ALLEN & HAMILTON, INC.

Logistics Analyst

Mclean, VA · On-site

$86K - $198K/yr

In this role, you'll use your logistics and materials expertise to contribute to the safety of the ... We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI ...

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All JobsSafety Fraud Analyst JobsSafety Fraud Analyst Jobs in Virginia

Safety Fraud Analyst information

What is the difference between Safety Fraud Analyst vs Safety Investigator?

AspectSafety Fraud AnalystSafety Investigator
CredentialsTypically requires certifications like OSHA, OSHA 30-hour, or industry-specific safety certificationsOften requires similar safety certifications, plus investigative training or law enforcement background
Work EnvironmentOffice settings, data analysis, report writing, and compliance monitoringOn-site inspections, interviews, and field investigations
Employer & IndustryInsurance companies, corporate safety departments, government agenciesWorkplaces, construction sites, or accident scenes in various industries

Both roles focus on safety compliance, but Safety Fraud Analysts primarily analyze data and detect fraudulent claims, while Safety Investigators conduct field investigations to determine safety violations or incidents. The roles often overlap in safety certifications and industry usage, but differ in their daily tasks and work environments.

How much does a safety fraud analyst get paid?

The average salary for a safety fraud analyst typically ranges from $50,000 to $80,000 per year, depending on experience, location, and the employer. Entry-level positions may start lower, while experienced analysts with certifications can earn higher salaries, often with opportunities for bonuses and overtime.

What does a Safety Fraud Analyst do?

A Safety Fraud Analyst investigates and detects fraudulent activities related to safety claims, insurance, or compliance violations. They analyze data, review reports, and use investigative tools to identify patterns of fraud, helping organizations reduce losses and ensure safety standards are maintained.

What qualifications do you need to be a safety fraud analyst?

A safety fraud analyst typically needs a bachelor's degree in fields such as criminal justice, finance, or a related area. Strong analytical skills, attention to detail, and experience with data analysis tools or software are also important qualifications for this role.

What are popular job titles related to Safety Fraud Analyst jobs in Virginia?

For Safety Fraud Analyst jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Safety Fraud Analyst jobs in Virginia look for?

The top searched job categories for Safety Fraud Analyst jobs in Virginia are:

What cities in Virginia are hiring for Safety Fraud Analyst jobs?

Cities in Virginia with the most Safety Fraud Analyst job openings:

Safety Fraud Analyst jobs near you
Infographic showing various Safety Fraud Analyst job openings in Virginia as of August 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 100% In-person job distribution.

Data Scientist (Fraud Analytics & Investigative Support)

Praescient Analytics

Fairfax, VA • On-site, Remote

Full-time

Retirement, PTO

Re-posted 23 days ago

Job description

Location: Remote (Occasional Travel May Be Required)
Clearance: Ability to obtain and maintain a Public Trust
Position Overview
Praescient Analytics is seeking multiple Data Scientists to support advanced fraud analytics and investigative initiatives for a federal oversight organization. These positions will develop, test, validate, and deploy innovative analytical solutions that help identify fraud, waste, abuse, and mismanagement across large-scale federal benefit programs and other government-funded initiatives.
Working as part of a multidisciplinary analytics team, Data Scientists will leverage statistical analysis, machine learning, data visualization, entity resolution, and risk modeling techniques to transform large, diverse datasets into actionable intelligence supporting investigators, auditors, and government decision-makers.
The ideal candidate is a technically strong, mission-focused data scientist who enjoys solving complex analytical problems while collaborating with investigators, business analysts, data engineers, forensic accountants, and government stakeholders.
Key Responsibilities
  • Develop, test, validate, and maintain fraud detection and program integrity analytics.
  • Design analytical rules and methodologies to identify fraud indicators, anomalies, suspicious activity, and emerging risks.
  • Perform exploratory data analysis, feature engineering, model development, validation, and performance evaluation.
  • Analyze structured and unstructured data from multiple public, non-public, commercial, financial, and government data sources.
  • Collaborate with Data Engineers to prepare and optimize data for analytics.
  • Support entity resolution, anomaly detection, predictive analytics, and risk scoring initiatives.
  • Produce dashboards, reports, visualizations, and analytical products that support investigative decision-making.
  • Document analytical methodologies, assumptions, validation results, and technical findings.
  • Participate in Agile delivery activities including sprint planning, demonstrations, peer reviews, and iterative model development.

Required Qualifications
  • Must have experience with Fraud Analysis
  • Three (3) or more years of professional experience in data science, applied analytics, machine learning, statistics, fraud analytics, or a related quantitative field.
  • Strong programming experience using Python and SQL.
  • Experience developing and validating analytical models.
  • Experience analyzing structured and unstructured datasets.
  • Experience documenting analytical methodologies and technical findings.
  • Strong analytical reasoning and problem-solving skills.
  • Excellent written and verbal communication skills.

Preferred Qualifications
Preference will be given to candidates with experience in one or more of the following:
  • Fraud detection, fraud prevention, financial crime analytics, or program integrity.
  • Federal benefit programs, grants, loans, healthcare, unemployment insurance, emergency assistance, disaster relief, or other public-sector programs.
  • Risk modeling, anomaly detection, entity resolution, predictive analytics, and statistical modeling.
  • Cloud analytics environments such as Azure Databricks, Microsoft SQL Server, Microsoft Fabric, Azure Data Lake Storage (ADLS), Power BI, Git repositories, or Lakehouse architectures.
  • Working with public, non-public, commercial, financial, or cross-agency datasets.
  • Data visualization and dashboard development.
  • Agile software development and analytics teams.
  • Enterprise data governance, metadata management, and data quality best practices.

What We're Looking For
We're looking for curious, collaborative data scientists who enjoy using data to solve challenging fraud detection problems. The ideal candidate combines strong analytical skills with a passion for supporting government oversight and investigative missions through innovative, data-driven solutions.
What you can expect from us:
  • Real opportunity for career growth in an environment where your achievements will be celebrated
  • Constant collaboration with numerous teams to ensure client success
  • A team that respects and embraces your ideas and expertise
  • Coworkers that are motivated by pursuing excellence, rather than the prospect of personal gain
  • A workplace dedicated to supporting and bettering public safety and government agencies

Benefits:
  • Competitive salary based on qualifications and experience
  • Comprehensive, Company paid healthcare for you (We pay your premiums and deductibles)
  • 401(k) with company match
  • Travel & performance incentives
  • 3 weeks paid time off (plus Federal Holidays)
  • $5K annual training allowance
  • $500 book allowance
  • Tuition reimbursement program

Praescient Analytics is an Equal Employment Opportunity employer. Employment decisions are based on merit, qualifications, experience, performance, business needs, and applicable contract requirements. Praescient does not unlawfully discriminate or provide disparate treatment based on race, ethnicity, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other status protected by applicable law.
Praescient Analytics acknowledges the applicable clause and provision updates implementing Executive Order 14398, Addressing DEI Discrimination by Federal Contractors, and the related FAR/RFO updates, including FAR 52.222-90 where applicable. Praescient does not engage in racially discriminatory DEI activities, including disparate treatment based on race or ethnicity in recruitment, hiring, promotion, contracting, program participation, training, mentoring, leadership development, or allocation of company resources. Praescient's employment and contracting decisions are made based on merit, qualifications, experience, performance, business needs, and applicable contract requirements.
Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information.
US Citizenship Required
Interested Candidates: Please forward your resume to recruiting@praescientanalytics.com and please visit our website to apply online at www.praescientanalytics.applicantstack.com/x/openings.

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