Guidehouse

Fraud AI / Data Managing Consultant (remote)

Washington, DC, US$130,000-$216,000Posted 1 day ago

Job Description

Job Family

:

Technology Consulting Travel Required:

Up to 50% Clearance Required:

Ability to Obtain Public TrustWhat You Will Do

The AI/Data Managing Consultant leads discrete workstreams and delivers advanced AI and data solutions. This role combines technical depth, client engagement, and mentorship of junior team members while driving real‑world AI adoption.

Key Responsibilities

  • Design and implement scalable AI and data solutions from requirements to deployment
  • Develop, test, and tune fraud prevention and detection rules in a variety of programming languages
  • Develop and optimize machine learning models and analytics workflows
  • Lead data analytics efforts in detecting fraud, waste, abuse, and improper payments and identifying key areas to target for program/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 junior consultants and senior consultants, and review their technical work
  • Ensure solutions align with governance, security, and responsible AI standards (as applicable)

What You Will Need

  • Must be able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred
  • Bachelor’s degree
  • EIGHT (8) or more years of experience in AI, data science, analytics, or engineering
  • FOUR (4) or more years of experience in a fraud/payment integrity-related role
  • Experience in Python/R, SQL, and data modeling
  • Experience with statistical and data analytics
  • Experience working with various data structure formats (CSV/TXT, JSON, XML, Parquet, etc.)
  • Experience developing, testing, and validating machine learning and other AI models at scale
  • Experience with data visualization tools (PowerBI

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