Insurance Claims Management AI Expert
New
W
Weekday AIInsurance Claims Management
US, UK, Canada, France, Portugal (remote)ContractMiddle
Salary not disclosed
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Job Details
- Experience
- 2–8 years
- Required Skills
- PythonArtificial IntelligenceData AnalysisMachine LearningPyTorchTensorflowNLPComputer Vision
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Science, Actuarial Science, Insurance, or a related field
- 2–8 years of experience in insurance claims management, analytics, or AI/ML roles
- Strong understanding of claims lifecycle processes, including intake, investigation, adjudication, and recovery
- Hands-on experience with machine learning frameworks (e.g., Python, TensorFlow, PyTorch) and data analysis tools
- Familiarity with NLP, computer vision, or document processing tools for claims automation
- Experience working with large datasets and building predictive models
- Knowledge of insurance regulations and compliance requirements
- Experience with claims management systems and workflow automation tools
- Strong problem-solving skills and ability to translate business needs into technical solutions
- Excellent communication skills to collaborate with both technical and non-technical stakeholders
Responsibilities
- Design, implement, and optimize intelligent systems across claims intake, investigation, and adjudication workflows.
- Work closely with cross-functional teams including underwriting, fraud detection, legal, and IT.
- Develop and refine AI models for automated data extraction, classification, and triaging of claims from multiple sources.
- Leverage machine learning and predictive analytics to identify anomalies, detect potential fraud, and support decision-making.
- Contribute to building intelligent workflows that prioritize high-risk claims and assist adjusters with actionable insights.
- Help design AI-assisted decision engines that recommend claim outcomes based on policy coverage, historical data, and risk profiles.
- Develop predictive models for accurate reserve setting and loss estimation.
- Design intelligent systems to identify subrogation opportunities early in the claims lifecycle.
- Implement AI tools to track recovery potential, automate documentation, and improve recovery rates.
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