Guidehouse

Fraud AI / Data Managing Consultant (remote)

Guidehouse$130K — $216K *
Finance & Insurance
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree
  • 8+ years in AI, data science, analytics, or engineering
  • 4+ years in fraud/payment integrity roles
  • Proficiency in Python/R, SQL, and data modeling
  • Experience with data visualization tools (PowerBI, Tableau, Looker)
  • Familiarity with various data structure formats (CSV, JSON, XML, Parquet)
  • Experience in developing and validating machine learning models at scale

Responsibilities

  • Design and implement scalable AI and data solutions
  • Develop, test, and tune fraud detection rules
  • Develop and optimize machine learning models
  • Lead data analytics for fraud detection and program integrity
  • Identify AI use cases in partnership with clients
  • Own client deliverables and contribute to presentations
  • Mentor junior and senior consultants

Benefits

  • Medical, Rx, Dental & Vision Insurance
  • Personal and Family Sick Time & Company Paid Holidays
  • Parental Leave and Adoption Assistance
  • 401(k) Retirement Plan
  • Tuition Reimbursement, Personal Development & Learning Opportunities
  • Skills Development & Certifications
  • Emergency Back-Up Childcare Program
Full Job Description
Job Family:
Technology Consulting

Travel Required:
Up to 50%

Clearance Required:
Ability to Obtain Public Trust

What 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, Tableau, Looker, etc.)
  • Experience with applying data analytics and artificial intelligence in the financial crime compliance and/or fraud, waste, and abuse prevention space
  • Travel will be 25-50% for candidates not located in the DMV or NYC area


What Would Be Nice to Have:
  • Experience leading small teams of junior resources
  • Proven ability to communicate complex concepts to non-technical audiences
  • Experience owning deliverable workstreams
  • Experience building fraud and/or fincrime monitoring rules in one or more programming languages
  • Experience working for or supporting healthcare technology, healthcare business or healthcare process initiatives
  • Cloud experience (AWS, Azure, GCP) including data and ML services
  • Experience deploying models into production (MLOps)
  • Experience with AI platforms (Databricks, Palantir, Vertex AI, SageMaker)
  • Prior consulting or client-facing delivery experience
  • Federal or State Medicaid experience (directly as an employee or in a consulting role), particularly experience with fraud prevention and detection and/or program integrity experience with Medicaid


The annual salary range for this position is $130,000.00-$216,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.

What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:
  • 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


About Guidehouse

Guidehouse is a management consulting firm headquartered in Washington, D.C. The firm provides consulting services to clients in the public and commercial sectors, with a focus on energy, financial services, healthcare, national security, and aerospace and defense. Guidehouse was founded in 2018 as a spin-off from PwC. The firm has over 7,000 employees and operates in more than 50 locations worldwide.
Learn more about Guidehouse
Size
8,000 employees
Industry
Founded
2018

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