About Gramian
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
About the Role
We are seeking experienced Insurance Claims Investigation and Evidence Review Specialists to contribute to a specialized AI training and evaluation project focused on identifying staged-loss incidents and fraudulent insurance claims.
In this role, you will apply your investigative and forensic expertise to analyze digital claim evidence, reconstruct accident or loss events, and assess the authenticity and causation of reported incidents. You will work with CCTV and dashcam footage, scene photographs, witness statements, engineering reports, and other technical evidence to produce clear, evidence-based assessments.
The ideal candidate has at least 7 years of relevant experience in special investigations, insurance fraud detection, forensic engineering, or fleet safety review. Your professional judgment and ability to identify inconsistencies in complex claims will help improve the accuracy and reliability of next-generation AI systems.
Previous AI experience is not required. Your investigative expertise is what matters most.
Job Type: Contractor
Location: Remote – Fully Remote
Key Responsibilities
Analyze digital claim evidence, including CCTV footage, dashcam recordings, scene photographs, witness statements, and engineering reports.
Identify inconsistencies, anomalies, and indicators that may suggest staged incidents or fraudulent claims.
Reconstruct accident and loss events using visual, technical, and documented evidence.
Assess the authenticity of reported incidents and evaluate potential causes of loss.
Prepare detailed, structured written assessments suitable for Special Investigation Unit (SIU) investigators, forensic engineers, and insurance professionals.
Explain investigative findings and support conclusions with clear, objective evidence.
Identify patterns associated with staged-loss incidents, suspicious claims, and potentially organized fraud schemes.
Review technical reports, visual evidence, and claim documentation for accuracy and consistency.
Contribute investigative insights and industry best practices to AI training and evaluation datasets.
Collaborate remotely with project stakeholders and provide professional feedback and clarifications.
Requirements
Minimum 7 years of relevant professional experience in one or more of the following areas:
Special Investigations / Special Investigation Units (SIU)
Insurance Fraud Detection
Claims Investigation
Forensic Engineering
Fleet Safety Investigation or Review
Demonstrated experience analyzing insurance claim evidence and evaluating incident authenticity and causation.
Strong ability to interpret visual evidence, technical reports, statements, and supporting documentation.
Experience identifying inconsistencies and potential indicators of staged-loss incidents or fraudulent activity.
Excellent analytical and critical-thinking skills.
Strong written communication skills, with the ability to produce detailed, evidence-based investigative reports.
Ability to work independently and communicate findings clearly in a remote environment.