Fraud AI / Data Consultant

About the Role

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.

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

Requirements

• Bachelor’s degree from an accredited college/university
• Must be a US Citizen and able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST"
• 1 year of experience in data analytics, data engineering, or data science (6 months of relative intern experience may be used as part of the 1 year 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
• Willingness to travel 25-50% for candidates not located in the DMV (preference given to candidates in the DMV)

Qualifications

• 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

Pay

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.

Benefits

• Medical, Rx, Dental & Vision Insurance
• Personal and Family Sick Time & Company Paid Holidays
• 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