Insurance Policy Administration AI Expert

Weekday AI (YC W21); Portugal; Presencial; EUR 117 553 - 141 064; Tempo parcial

Resumo da oferta

Weekday AI (YC W21) is looking for a skilled Insurance Policy Administration AI Expert to transform core insurance operations in a remote role. The successful candidate will design and implement AI-driven solutions aiding in policy administration, collaborating with various teams to ensure compliance and accuracy. Required qualifications include a degree in a relevant field and 2-7 years of experience in insurance operations or AI/ML. Strong understanding of policy processes and techniques like NLP is essential.

Qualificações

• 2-7 years of experience in insurance operations or AI/ML implementation in insurance.
• Strong understanding of policy lifecycle processes: issuance, endorsements, cancellations, and renewals.
• Deep knowledge of insurance coverage structures and risk interpretation.

Responsabilidades

• Design and implement AI-driven solutions for policy administration.
• Collaborate with teams to automate policy workflows.
• Monitor model performance and improve based on feedback.

Conhecimentos

AI-driven solutions

Data analysis

Problem-solving

Natural Language Processing (NLP)

Formação académica

Bachelor's or Master's degree in Insurance, Actuarial Science, Computer Science, Data Science, or related field

Ferramentas

Python

SQL

TensorFlow

PyTorch

Descrição da oferta de emprego

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 skilled Insurance Policy Administration AI Expert to join our team and help transform core insurance operations through intelligent automation and data-driven insights. This role sits at the intersection of insurance domain expertise and applied AI, focusing on optimizing policy lifecycle processes such as issuance, endorsements, and renewals while ensuring compliance and accuracy.

Key Responsibilities

• Design, develop, and implement AI-driven solutions to streamline end-to-end policy administration processes, including policy issuance, mid-term endorsements, and renewals.
• Analyze and interpret complex insurance policy coverage, translating business rules into scalable AI/ML models and decision frameworks.
• Collaborate with underwriting, operations, and compliance teams to automate policy workflows while maintaining high accuracy and auditability.
• Build intelligent systems for document processing, policy validation, and exception handling using NLP, rule engines, and predictive models.
• Enhance renewal strategies through data-driven insights, customer behavior analysis, and risk profiling.
• Ensure AI systems align with regulatory requirements across jurisdictions, incorporating compliance checks into automated workflows.
• Monitor model performance, accuracy, and bias, continuously improving systems based on feedback and evolving regulatory standards.
• Support integration of AI solutions with policy administration systems (PAS), core insurance platforms, and third-party data providers.
• Provide domain expertise in interpreting policy wording, exclusions, and coverage limits to ensure correct system outputs.

Required Skills & Qualifications

• Bachelor's or Master's degree in Insurance, Actuarial Science, Computer Science, Data Science, or a related field.
• 2-7 years of experience in insurance operations, policy administration, or AI/ML implementation in the insurance domain.
• Strong understanding of policy lifecycle processes: issuance, endorsements, cancellations, and renewals.
• Deep knowledge of insurance coverage structures, policy language, and risk interpretation.
• Experience with AI/ML techniques such as Natural Language Processing (NLP), classification models, and rule-based systems.
• Familiarity with regulatory and compliance frameworks (e.g., IRDAI guidelines, GDPR, or other regional insurance regulations).
• Hands-on experience with data analysis tools (Python, SQL) and AI frameworks (TensorFlow, PyTorch, or similar).
• Ability to translate business requirements into technical solutions and vice versa.
• Strong problem-solving skills and attention to detail, especially in handling exceptions and edge cases in policy processing.

Preferred Qualifications

• Experience working with Policy Administration Systems (e.g., Guidewire, Duck Creek, or similar platforms).
• Exposure to intelligent document processing (IDP) and OCR technologies.
• Understanding of underwriting principles and claims impact on policy structures.
• Experience in implementing AI governance or model risk management frameworks.