Job Details

About AAIS

Since 1936, American Association of Insurance Services ("AAIS") has served the property and casualty insurance industry as the only national not-for-profit advisory organization governed by its member companies. We are committed to evolving with changes in the insurance industry, adding value to our members, regulators, and the industry with responsive products and insights.

Purpose

The Actuarial Data Scientist, Manager will lead AAIS's predictive modeling and advanced analytics efforts for insurance pricing with direct oversight of a team of data scientists. This role is responsible for strategic leadership of usage with Akur8 (3rd party vendor) and analyzing complex datasets to inform high-impact business decisions. The ideal candidate will bring expertise in insurance pricing, predictive modeling, and team management to deliver actionable insights and scalable solutions.

Responsibilities

• Leverage data-driven insights to guide strategic planning and operational improvements.
• Manage and mentor a team of data scientists and actuarial analytic professionals, fostering a culture of innovation, collaboration, and continuous improvement.
• Serve as the enterprise-wide Product Owner for Akur8, ensuring optimal usage and alignment with business goals.
• Develop and maintain predictive modeling policies, procedures, and governance frameworks.
• Drive the creation of Akur8-ready datasets from AAIS databases and ensure data integrity and readiness for modeling.
• Lead cross-functional project teams as a Project Sponsor, ensuring alignment, communication, and delivery of key milestones.
• Collaborate with actuarial, product, and regulatory teams to develop filing materials and support state filings for Akur8 use-cases.
• Translate complex data into clear, actionable business recommendations for senior leadership.
• Champion the use of advanced analytics tools and methodologies to support pricing and underwriting decisions.
• Represent AAIS in industry forums and contribute to thought leadership in predictive modeling and pricing strategy.
• Perform additional duties as assigned or requested.

• Lead, coach, and develop a team to deliver high performance and support individual growth.
• Set clear goals and expectations, monitor progress, and provide regular feedback.
• Foster a positive, inclusive, and accountable team culture.
• Manage day-to-day operations, ensure alignment with department objectives, and remove barriers to performance.
• Support resource planning, workload distribution, and prioritization of tasks.
• Facilitate regular team meetings, one-on-one check-ins, and performance conversations.
• Identify and address performance issues in a timely and constructive manner.
• Partner with Human Resources on talent-related matters such as hiring, onboarding, development, employee relations, and performance management. Encourage collaboration, knowledge sharing, and continuous improvement within the team.
• Represent the team's needs and perspectives in cross-functional discussions.
• Ensure compliance with company policies, procedures, and quality standards.

• Proven expertise in predictive modeling and working with insurance pricing strategies.
• Experience working in property and casualty insurance industry.
• Strong business acumen and strategic thinking, with a focus on delivering measurable outcomes.
• Advanced proficiency in data analytics tools and programming languages (e.g., SAS, SQL, R, Python, Akur8).
• Exceptional communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
• Experience in developing and visualizing data-driven insights for executive-level decision-making.
• Strong leadership and team management capabilities, with experience developing high-performing teams.
• Ability to communicate effectively across multiple channels and asynchronously in a remote-first working environment.

• Bachelor's degree with in Mathematics, Statistics, Actuarial Science, or related field.
• 7-10 years of insurance industry experience with a focus on actuarial analytics, predictive modeling, or pricing strategies.
• Completion of CSPA, ACAS, or FCAS, a plus.
• Strong technical skills in Excel; proficiency in VBA, SAS, SQL, R, Python, or other database management languages strongly preferred.
• Demonstrated experience managing teams and leading strategic initiatives.
• Hands-on experience with Akur8 and other predictive modeling platforms strongly preferred.
• Minimum travel is required for annual all-company gatherings or team design sessions (up to 5% of the time)