Guidehouse

Fraud AI / Data Consultant

Guidehouse$74K — $124K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree from an accredited college/university
  • US citizenship required, with candidates located within the United States
  • Ability to obtain and maintain Federal or DoD 'Public Trust' clearance
  • 1 year of experience in data analytics, engineering, or science (including internship)
  • Strong proficiency in Python and SQL
  • Experience with data visualization tools like PowerBI or Tableau
  • Exposure to cloud platforms (AWS, Azure, or GCP)

Responsibilities

  • Support development of AI and data solutions such as analytics pipelines and dashboards
  • Develop, test, and tune fraud detection rules in various programming languages
  • Analyze structured and unstructured datasets for actionable insights
  • Assist with data preparation, feature engineering, and model validation
  • Translate business requirements into technical specifications with guidance
  • Contribute to client deliverables, documentation, and presentations
  • Collaborate with engineers, scientists, and stakeholders
  • Apply responsible AI and data governance principles in project delivery

Benefits

  • Medical, Rx, Dental & Vision Insurance
  • Personal and Family Sick Time & Company Paid Holidays
  • Eligible for discretionary variable incentive bonus
  • Parental Leave and Adoption Assistance
  • 401(k) Retirement Plan
  • Health Savings Account and Flexible Spending Accounts
  • Short-Term & Long-Term Disability
  • Tuition Reimbursement and Learning Opportunities
  • Skills Development & Certifications
  • Employee Referral Program
  • Corporate Sponsored Events & Community Outreach
  • Emergency Back-Up Childcare Program
  • Mobility Stipend
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 Consultant supports the design, development, and delivery of data-driven and AI-enabled solutions for clients. This role focuses on hands-on analytics, data engineering, and applied AI use cases while building consulting, client-facing, and technical fundamentals.

Key Responsibilities
  • Support development of AI and data solutions including analytics pipelines, dashboards, and basic machine learning models
  • Develop, test, and tune fraud and FinCrime prevention and detection rules in a variety of programming languages
  • Analyze structured and unstructured datasets to generate actionable insights
  • Assist in data preparation, feature engineering, and model validation
  • Translate business requirements into technical specifications under guidance
  • Contribute to client deliverables, documentation, and presentations
  • Collaborate with data engineers, data scientists, and business stakeholders
  • Apply responsible AI, data governance, and security principles in delivery


What You Will Need:
  • Bachelor's degree from an accredited college/university
  • Based on our contractual obligations, candidate must be located within the United States and US Citizen
  • Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST"
  • 1 years of experience in data analytics, data engineering, or data science (6 months of relative intern experience may be used as part of the 1 years required experience)
  • Strong proficiency and development experience in Python and SQL
  • Proficiency working with various data structure formats (CSV/TXT, JSON, XML, Parquet, etc.)
  • Experience with data visualization tools (PowerBI, Tableau, Looker, etc.)
  • Exposure to cloud platforms (AWS, Azure, or GCP)
  • Strong analytical, problem-solving, and communication skills
  • Preference will be given to candidates located in the DMV
  • Travel will be 25-50% for candidates not located in the DMV


What Would Be Nice to Have:
  • Familiarity with R a plus
  • Exposure to ML libraries (scikit-learn, TensorFlow, PyTorch)
  • Experience building fraud and/or fincrime monitoring rules in one or more programming languages
  • Hands-on experience developing, testing, and validating machine learning and other AI models at scale
  • Experience with platforms such as Databricks or Palantir
  • Consulting, healthcare, financial services, or public sector experience
  • Federal Agency experience
  • LexisNexis product API integration experience


The annual salary range for this position is $74,000.00-$124,000.00. 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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