Senior Fraud AI & Data Consultant (Remote)

Guidehouse; Virginia (MN); Hybrid; USD 113,000 - 188,000; Full time

Job summary

Guidehouse is seeking a Fraud AI/Data Senior Consultant to lead AI and data solutions for fraud prevention and program integrity. This remote-friendly role combines technical depth with client engagement and mentorship of junior staff.

Ideal candidates have 5+ years in AI/data analytics, 3+ years in fraud-related roles, and strong Python/R, SQL, and data modeling skills, plus experience with visualization tools and cloud platforms.

Qualifications

• Bachelor’s degree from an accredited college/university.
• Five or more years of experience in AI, data science, analytics, or engineering.
• Three or more years of experience in a fraud/payment integrity-related role.
• Strong development expertise in Python/R, SQL, and data modeling.
• Experience with data visualization tools (PowerBI, Tableau, Looker).

Responsibilities

• Design and implement scalable AI and data solutions from requirements to deployment.
• Develop, test, and tune fraud prevention and detection rules in Python/R/SQL.
• Develop and optimize machine learning models and analytics workflows.
• Lead data analytics efforts in detecting fraud, waste, abuse, and improper payments.
• Partner with clients to identify AI use cases and translate business needs into solutions.
• Own client deliverables and contribute to executive-level presentations.
• Mentor C2 consultants and review technical work.
• Ensure solutions align with governance, security, and responsible AI standards.

Skills

Python/R

SQL

data modeling

statistical analysis

cloud experience

Education

Bachelor's degree

Tools

PowerBI

Tableau

Looker

Databricks

Job description

Guidehouse is seeking a Fraud AI/Data Senior Consultant to lead AI and data solutions for fraud prevention and program integrity. This remote-friendly role combines technical depth with client engagement and mentorship of junior staff.

Ideal candidates have 5+ years in AI/data analytics, 3+ years in fraud-related roles, and strong Python/R, SQL, and data modeling skills, plus experience with visualization tools and cloud platforms.