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Guidehouse

Senior Fraud AI/Data Consultant

Guidehouse

. Lead discrete workstreams and deliver advanced AI and data solutions .

Posted 9/21/2026full-timeRemote • United StatesSenior💰 $113,000 - $188,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and implementing AI and data solutions, with a strong focus on fraud prevention and detection. Proficient in statistical analysis, machine learning model development, and client engagement to translate business needs into actionable solutions.

Highest-signal resume keywords
AI Solution DevelopmentFraud Prevention ExpertisePython/R ProgrammingData AnalyticsMachine Learning Model Deployment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AIData ScienceAnalyticsPythonRSQLData ModelingStatistical AnalysisMachine LearningFraud Detection
Soft Skills
Client EngagementMentoringCommunication
Tools & Technologies
PowerBITableauLookerAWSAzureGCPDatabricksPalantirVertex AISageMaker
Certifications & Qualifications
Federal Public Trust
Industry Keywords
Fraud PreventionPayment IntegrityHealthcare TechnologyFinancial Crime ComplianceMLOps

Tech Stack

Tools & technologies
AWSAzureCloudGoogle Cloud PlatformPythonSQLTableau

About the role

Key responsibilities & impact
  • Lead discrete workstreams and deliver advanced AI and data solutions
  • Design and implement scalable AI and data solutions from requirements through deployment
  • Develop, test, and tune fraud prevention and detection rules in multiple programming languages
  • Develop and optimize machine learning models and analytics workflows
  • Lead data analytics efforts to detect fraud, waste, abuse, and improper payments
  • Identify target areas for program and payment integrity improvements
  • Partner with clients to identify AI use cases and translate business needs into solutions
  • Own client deliverables and contribute to executive-level presentations
  • Mentor C2 consultants and review technical work
  • Ensure solutions align with governance, security, and responsible AI standards

Requirements

What you’ll need
  • Must be able to obtain and maintain a Federal or DHS Public Trust; approved adjudication required prior to onboarding
  • Bachelor’s degree from an accredited college/university
  • Five (5) or more years of experience in AI, data science, analytics, or engineering
  • Three (3) or more years of experience in a fraud/payment integrity-related role
  • Strong development expertise in Python/R, SQL, and data modeling
  • Strong statistical and data analytics expertise
  • Proficiency with CSV/TXT, JSON, XML, Parquet, and other data structure formats
  • Experience developing, testing, and validating machine learning and other AI models at scale
  • Experience with PowerBI, Tableau, Looker, or similar data visualization tools
  • Experience applying data analytics and artificial intelligence in financial crime compliance and/or fraud, waste, and abuse prevention
  • Travel will be 25–50% for candidates not located in the DMV or NYC area
  • Active Public Trust or Suitability preferred
  • Experience building fraud and/or fincrime monitoring rules in programming languages preferred
  • Experience communicating complex concepts to non-technical audiences preferred
  • Healthcare technology, healthcare business, or healthcare process experience preferred
  • Cloud experience with AWS, Azure, or GCP, including data and ML services, preferred
  • Experience deploying models into production (MLOps) preferred
  • Experience with Databricks, Palantir, Vertex AI, or SageMaker preferred
  • Prior consulting or client-facing delivery experience preferred
  • Federal or State Medicaid experience, particularly fraud prevention, detection, or program integrity experience, preferred

Benefits

Comp & perks
  • Medical, Rx, Dental & Vision Insurance
  • Personal and Family Sick Time & Company Paid Holidays
  • Position may be eligible for a discretionary variable incentive bonus
  • Parental Leave and Adoption Assistance
  • 401(k) Retirement Plan
  • Basic Life & Supplemental Life
  • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
  • Short-Term & Long-Term Disability
  • Student Loan PayDown
  • Tuition Reimbursement, Personal Development & Learning Opportunities
  • Skills Development & Certifications
  • Employee Referral Program
  • Corporate Sponsored Events & Community Outreach
  • Emergency Back-Up Childcare Program
  • Mobility Stipend
  • Flexible benefits package