Weekday AI
Insurance
InsuranceUnderwritingAIExpert
Neural analysis suggests this role is
optimal for Mid candidates.
“Insurance Underwriting AI Expert at Weekday AI. Skills: Insurance Underwriting AI, risk assessment, policy pricing, AI/ML model development. Design and implement AI/ML models to support risk assessment and selection. Translate underwriting guidelines and business rules into data models and algorithms”
What You'll Achieve.
Enhance decision-making, efficiency, and risk outcomes; Modernize underwriting workflows; Improve accuracy in evaluating applicant profiles, exposures, and potential losses; Ensure alignment with market competitiveness and profitability goals; Dynamically match risks to underwriting appetite and highlight exceptions; Ensure compliance, fairness, and accuracy
Industry & Context.
analytical thinking; problem-solving abilities
What They're Looking For.
Must Have
Bachelor’s or Master’s degree in Insurance, Actuarial Science, Data Science, Statistics, or a related field, 2–8 years of experience in insurance underwriting, analytics, or AI/ML applications within the insurance domain, understanding of underwriting principles, including risk evaluation, pricing strategies, and policy structures, Hands-on experience with machine learning techniques such as regression, classification, clustering, and predictive modeling, Proficiency in tools such as Python, R, SQL, and data visualization platforms, Experience working with large datasets, data preprocessing, and feature engineering
Nice to Have
Familiarity with underwriting systems, rating engines, and insurance data structures is highly preferred, Exposure to commercial or personal lines underwriting, Experience with AI model deployment and MLOps practices, Knowledge of regulatory frameworks impacting underwriting and pricing
What You'll Do.
Design and implement AI/ML models to support risk assessment and selection
Translate underwriting guidelines and business rules into data models and algorithms
Develop and refine policy pricing and rating models
Analyze historical data and external datasets to identify risk patterns
Support appetite evaluation and guideline application by building intelligent systems
Integrate AI models into underwriting platforms and workflows
Monitor model performance
and recalibrate algorithms
Contribute to the development of underwriting dashboards
and decision-support systems
Ensure all AI-driven underwriting practices adhere to compliance standards
How You'll Work.
Team & Collaboration
Collaborate closely with underwriting, actuarial, product, and engineering teams; Collaborate with cross-functional stakeholders to integrate AI models into underwriting platforms and workflows
Full Job Description
**This role is for one of our clients** **Compensation:** $100-$120 per hour (20 hours per week commitment)** Job Type:** Part-time / Contract **Location:** US, UK, Canada, France, Portugal (remote) We are seeking a highly motivated Insurance Underwriting AI Expert to join our growing team. This role sits at the intersection of insurance domain expertise and advanced analytics, focusing on transforming traditional underwriting processes using AI-driven solutions. The ideal candidate will bring strong knowledge of underwriting fundamentals along with the ability to design, implement, and optimize intelligent systems that enhance decision-making, efficiency, and risk outcomes. As an Underwriting AI Expert, you will play a critical role in modernizing underwriting workflows by embedding data-driven insights into core processes such as risk assessment, pricing, and portfolio management. You will collaborate closely with underwriting, actuarial, product, and engineering teams to develop scalable AI solutions aligned with business objectives. **Requirements** **Key Responsibilities:** * Design and implement AI/ML models to support **risk assessment and selection** , improving accuracy in evaluating applicant profiles, exposures, and potential losses. * Translate underwriting guidelines and business rules into data models and algorithms that automate and augment decision-making. * Develop and refine **policy pricing and rating** models using statistical and machine learning techniques, ensuring alignment with market competitiveness and profitability goals. * Analyze historical data and external datasets to identify risk patterns, trends, and anomalies that inform underwriting strategies. * Support **appetite evaluation and guideline application** by building intelligent systems that dynamically match risks to underwriting appetite and highlight exceptions. * Collaborate with cross-functional stakeholders to integrate AI models into underwriting platforms and workflows. * C
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