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Insurance Underwriting AI Expert

2 hours, 4 minutes ago
United States, Canada, United Kingdom, France, Portugal
Part-time
Mid Level
Machine Learning Engineer
Artificial Intelligence and Machine Learning
Feature Engineering Machine Learning MLOps Python R SQL
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Weekday

Weekday

Weekday helps companies hire engineers who are vouched by other software engineers, enabling passive income for engineers. They offer services like drafting outreach messages, shortlisting candidates, and conducting reference checks. Backed by Y Combin...

Construction & Engineering
11-50
Founded 2020
View All Jobs 49

Description

  • Design and implement AI/ML models to improve risk assessment, applicant selection, and loss evaluation.
  • Translate underwriting guidelines and business rules into data models and algorithms that automate and augment decisions.
  • Develop and refine pricing and rating models using statistical and machine learning techniques.
  • Analyze historical and external datasets to identify risk patterns, trends, and anomalies.
  • Build intelligent systems that match risks to underwriting appetite and flag exceptions.
  • Collaborate with underwriting, actuarial, product, and engineering teams to integrate AI models into platforms and workflows.
  • Monitor model performance, validate outputs, and recalibrate algorithms to maintain compliance, fairness, and accuracy.
  • Contribute to underwriting dashboards, reporting tools, and decision-support systems.
  • Stay current on regulatory requirements and ensure AI-driven underwriting practices meet compliance standards.

Requirements

  • 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.
  • Strong 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 Python, R, SQL, and data visualization platforms.
  • Experience with large datasets, data preprocessing, and feature engineering.
  • Familiarity with underwriting systems, rating engines, and insurance data structures is highly preferred.
  • Strong analytical thinking, problem-solving abilities, and attention to detail.
  • Exposure to commercial or personal lines underwriting is preferred.
  • Experience with AI model deployment and MLOps practices is preferred.
  • Knowledge of regulatory frameworks impacting underwriting and pricing is preferred.
  • Availability for a part-time contract commitment of 20 hours per week.
  • Ability to work remotely from the US, UK, Canada, France, or Portugal.

Benefits

  • Compensation of $100–$120 per hour.
  • Part-time contract role with a 20-hour-per-week commitment.
  • Remote work location across the US, UK, Canada, France, or Portugal.

Interested in this position?

Apply directly on the company website

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