Lead Actuarial Data Scientist

Next Insurance•Boston, MA

4h•Hybrid

About The Position

ERGO NEXT is seeking an Actuarial Data Scientist to oversee all aspects of technical actuarial modeling, including pricing models, systems, and infrastructure. This role will lead a team of actuarial data scientists supporting ERGO NEXT from the ERGO Global Pricing Hub and provide oversight to actuarial aspects of models built by ERGO NEXT actuaries and data scientists. This is a high-visibility, high-impact role focused on transforming how ERGO NEXT delivers pricing and technical actuarial products to meet or exceed Global ERGO Technical Excellence standards.

Requirements

FCAS/ACAS mandatory
8+ years of experience in a variety of actuarial domains, especially pricing
Familiarity with small commercial P&C insurance products
Comfortable using AI platforms to accelerate delivery and augment work products
Experience applying machine learning techniques to actuarial pricing
Strong communication skills and ability to influence
Comfortable working across time zones and countries
Project management experience
People management experience a plus
Ability to manage and lead in a fast-paced environment
Experience coding with SQL/R/Python
Machine Learning Algorithms and Feature Engineering
Data visualization in Tableau, PowerBi, or similar
Experience in actuarial software platforms such as Akur8 or Radar
Forward-thinking approach to leveraging AI platforms (such as Claude, Gemini, or ChatGPT) to drive operational efficiencies

Responsibilities

Develop a strategic roadmap and project plans for ERGO NEXT’s engagement with the ERGO Pricing Hub.
Establish and manage projects to timelines, ensuring high-quality output.
Establish ERGO NEXT as a leader in technical excellence in pricing, both within ERGO NEXT and in the global ERGO community.
Develop cutting-edge technical frameworks for actuarial modeling leveraging AI, ML, and actuarial research.
Establish standards for actuarial model review and validation and deploy these standards across all actuarial technical modeling work.
Collaborate with legal and compliance teams to ensure actuarial modeling meets US actuarial professional and legal standards.
Work regularly with executive staff on critical business issues, providing insights and solutions that support strategic priorities.
Translate complex data into compelling executive-level presentations.
Communicate and influence decision-making across multiple functional areas on results of studies and analytics.
Delegate and direct individuals supporting individual projects and hold a high standard of quality in the work produced by the individuals.