What's Happening?
WTW has announced the appointment of Lizzie Eason as the director and actuarial data scientist within its pricing, product, claims, and underwriting (PPCU) consulting team in North America, effective June 15, 2026. Eason will be responsible for supporting
PPCU clients and prospects by developing integrated consulting and technology solutions. Her focus will be on predictive modeling, advanced analytics, and artificial intelligence. Eason will collaborate with insurers to develop and implement analytical frameworks, enhance data capabilities, and improve decision-making processes across their organizations. She brings nine years of experience in the insurance industry, with expertise in actuarial and data science, predictive modeling, and machine learning. Previously, Eason served as a principal data scientist at Everest and as a data science consultant at Nationwide. She is an associate of the Casualty Actuarial Society and is active in the Network of Actuarial Women and Allies. At WTW, Eason will report to Dale Porfilio, senior director and head of business development for personal and commercial lines within the Insurance Consulting and Technology business.
Why It's Important?
The appointment of Lizzie Eason to WTW's North American team underscores the growing importance of data science and analytics in the insurance industry. By enhancing its actuarial data science capabilities, WTW aims to provide more sophisticated and effective solutions to its clients, which can lead to better risk assessment, pricing strategies, and overall operational efficiency. This move reflects a broader industry trend where companies are increasingly relying on advanced analytics and AI to stay competitive. Insurers that successfully integrate these technologies can gain a significant advantage in terms of customer insights, cost management, and innovation. Eason's expertise in predictive modeling and machine learning will be crucial in helping WTW's clients navigate the complexities of modern insurance markets, potentially leading to improved profitability and customer satisfaction.
What's Next?
As Lizzie Eason begins her role at WTW, the company is likely to focus on expanding its data-driven services and solutions. This could involve developing new predictive models and analytics tools tailored to the specific needs of its clients. WTW may also explore partnerships or collaborations with technology firms to further enhance its capabilities in AI and machine learning. Additionally, Eason's involvement in the Network of Actuarial Women and Allies suggests that WTW might also prioritize diversity and inclusion initiatives within its teams. The insurance industry as a whole may observe WTW's strategies and outcomes, potentially leading to similar appointments and investments in data science across other firms.













