Fraud AI / Data Consultant

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., * 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

Do you have experience in Reporting and dashboarding tools?, Do you have a Bachelor’s degree?, * 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

Pulled from the full job description

• Referral program
• Tuition reimbursement
• Parental leave
• 401(k)
• Health insurance
• Vision insurance
• Health savings account, 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 an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.