Actuarial Analyst – Data Science & Modeling

CRC Group • Dallas, TX

1d • Onsite

About The Position

The Actuarial Services Consultant combines traditional actuarial expertise with modern data science and advanced modeling capabilities. This role plays a key part in transforming insurance data into actionable insights that drive pricing, underwriting, claims, and portfolio strategy. The ideal candidate will contribute to the development of predictive models, enhance risk segmentation, and support data-driven decision-making across the organization. You will work with large, complex insurance datasets and leverage statistical techniques, machine learning, and automation to improve business performance and operational efficiency.

Requirements

• Bachelor’s degree in Actuarial Science, Mathematics, Statistics, Data Science, or a related quantitative field.
• 0–2 years of experience in actuarial, data science, or analytical roles.
• Progress toward actuarial credentials through completion of examinations.
• Strong analytical and problem-solving skills.
• Experience with programming languages such as Python, R, or SQL.
• Strong foundation in statistical methods and quantitative analysis.

Nice To Haves

• Exposure to machine learning and advanced analytical techniques is a plus.

Responsibilities

• Apply data science techniques to address complex insurance challenges, including pricing optimization, loss prediction, claims severity modeling, and risk segmentation.
• Perform exploratory data analysis to identify loss trends, emerging risks, rate adequacy issues, and anomalies that inform underwriting, pricing, and claims strategies.
• Work with structured and unstructured data, including large and non-traditional datasets.
• Develop and maintain data pipelines and automated workflows for analytics and reporting.
• Visualize and communicate insights using dashboards, reports, and presentations.
• Explore and implement emerging tools, technologies, and methodologies.
• Support the development of actuarial and predictive models for pricing, reserving, and risk assessment.
• Build and validate statistical and machine learning models, ensuring robustness and interpretability.
• Monitor model performance and recalibrate models as needed.
• Document model assumptions, methodologies, and limitations in line with governance standards.
• Collaborate with business stakeholders to translate modeling results into actionable strategies.
• Contribute to the development of next-generation actuarial modeling frameworks and tools.

Benefits

• medical, dental, vision, life, disability, and AD&D insurance
• tax-advantaged savings accounts
• 401(k) plan with company match
• generous paid time off programs, including company holidays, vacation and sick days, new parent leave, and more
• restricted stock units
• deferred compensation plan

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level