Actuary​/Data Scientist

Responsibilities

Job Description:

We are seeking an actuary (nearly or newly FCAS credentialed) or Data Scientist with strong analytical and coding skills to support data pipelines and advanced modeling. This role is suited to someone who is technically strong, comfortable working independently, and able to translate complexity into clear ideas.

The position emphasizes rigorous quantitative thinking, high quality code, and professional judgment over purely mechanical analysis. We seek someone to challenge the status quo and find better ways to solve problems. You will advocate for the application of modern data science and AI approaches.

Key Functions/Duties of Position:

• Write production quality code for data wrangling, modeling, and AI-assisted analytical workflows.
• Perform deep exploratory analysis to identify problems, trends, and drivers.
• Work effectively with data platforms and pipelines designed by data engineers to develop, enhance, and maintain models, focusing on analytical correctness and model integrity.
• Design and apply machine learning tools, including accessing large language models (LLMs) or building task-specific agents.
• Apply professional skepticism and alternate approaches to thoroughly validate results.
• Communicate results effectively to actuarial peers, management, and non-technical audiences.
• Understand the different data types and uses of data within an insurance organization.
• Provide support and guidance to others who are at earlier stages in their data science or AI journey.

Education Requirement:

Master's degree in Data Science preferred.

Progress toward CAS credentials (ACAS or nearly/newly FCAS or international equivalent).

Qualifications:

4-7 years of relevant actuarial, technical, or research experience.

Strong programming skills, particularly in Python, including analytical and modeling libraries.

Experience applying AI, machine learning, or LLM based tools to solve real data or analytical problems (e.g., building agents, calling model APIs, or integrating AI into analytical workflows).

Proficient in probability and statistics. Experience working with large and complex data flows and articulating project plans and conclusions.

Proficient with SQL and cloud-based or distributed data environments (e.g., Snowflake, Databricks, or similar platforms).

Strong professional judgment, curiosity, and attention to detail.

The Company is an equal employment opportunity employer.

Sponsorship not Offered for this Role