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Insurance Policy Administration AI Expert

$100 - $120/hr

... Type: Part-time / Contract Location: US, UK, Canada, France, Portugal (remote) We are seeking a ... Bachelor's or Master's degree in Insurance, Actuarial Science, Computer Science, Data Science, or a ...

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How much do part time actuarial jobs pay per year?

As of Jun 8, 2026, the average yearly pay for part time actuarial in the United States is $113,678.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $127,000.00 per year, depending on experience, location, and employer.

What are some typical challenges faced by part-time actuarial professionals, and how can they be managed?

Part-time actuarial professionals often face challenges such as balancing workload and deadlines across limited hours, staying updated with industry changes, and integrating effectively with full-time team members. To manage these, it's important to maintain clear communication with supervisors about availability and expectations, leverage technology for efficient remote collaboration, and proactively seek updates on ongoing projects and regulatory developments. Regular check-ins and participation in team meetings can also help ensure alignment and continued professional growth.

What are part time actuarial jobs?

Part time actuarial jobs are positions in the actuarial field where professionals work fewer hours than a standard full-time role, often allowing for flexible schedules. These roles typically involve tasks such as analyzing risk, preparing reports, and supporting insurance or pension calculations, but on a reduced or adaptable timetable. Part time actuarial jobs are ideal for students, semi-retired professionals, or those seeking work-life balance while gaining or maintaining experience in actuarial science.

What is the difference between Part Time Actuarial vs Part Time Data Analyst?

AspectPart Time ActuarialPart Time Data Analyst
Required CredentialsActuarial exams, actuarial science degreeStatistics, data analysis, or related degree
Work EnvironmentInsurance, finance, consulting firmsTech companies, finance, healthcare
Industry UsageCommon in insurance and pension sectorsWidespread across various industries

Part Time Actuarial roles focus on risk assessment and insurance calculations, requiring actuarial exams and specialized knowledge. Part Time Data Analysts analyze data to support business decisions, often with different technical skills. While both roles may be part-time, their core functions and industry applications differ significantly.

What are the key skills and qualifications needed to thrive as a Part Time Actuarial, and why are they important?

To thrive as a Part Time Actuarial, you need strong analytical skills, a solid background in mathematics or statistics, and progress toward actuarial exams or relevant certification. Familiarity with actuarial software such as Excel, SAS, or Prophet and experience with data analysis tools are typically required. Attention to detail, time management, and effective communication are important soft skills for collaborating on projects and explaining complex findings. These skills ensure accurate risk assessment, data-driven decision-making, and effective contribution to team objectives within limited working hours.
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Part Time Actuarial jobs near you

Insurance Policy Administration AI Expert

Weekday AI

Remote

$100 - $120/hr

Part-time

Posted 19 days ago

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 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.
Requirements
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.

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