Senior Data Scientist - Insurance ML & Analytics (Hybrid)

Safety National; St. Louis (MO); Hybrid; USD 117,000 - 151,000; Full time

Benefits offered by this job

Hybrid work environment

Health, dental, vision coverage

401(k) retirement match

Job summary

Safety National is seeking a Senior Data Scientist in St. Louis to solve complex business challenges through advanced analytics and machine learning.

You will partner with claims, underwriting, actuarial, and other stakeholders to transform large datasets into actionable insights and deploy robust predictive models while ensuring data quality and compliance. You will create meaningful visualizations, communicate technical findings to diverse audiences, and contribute to advancing data science

Qualifications

• Master's degree required in Statistics, Mathematics, Actuarial Science, Computer Science, or another quantitative field.
• 6+ years of experience as a Data Scientist with a focus on machine learning and predictive modeling.
• Proficiency with Python or R and ML libraries such as Scikit-Learn, XGBoost, TensorFlow, or PyTorch.
• Strong understanding of statistical modeling, ML techniques, and risk assessment in an insurance environment.
• Extensive experience with relational databases (e.g., SQL Server) and cloud data warehouses (e.g., Snowflake).
• Advanced SQL skills for data retrieval, transformation, and analysis.
• Excellent communication skills to explain complex technical concepts to diverse stakeholders.
• Authorized to work in the U.S. without sponsorship now or in the future.
• Hybrid work schedule with a minimum of 3 days per week in the St. Louis office (1832 Schuetz Rd).

Responsibilities

• Solve complex business challenges through advanced analytics and ML.
• Partner with cross-functional stakeholders across claims, underwriting, actuarial, and other areas to turn datasets into actionable insights.
• Develop, deploy, validate, and optimize predictive models with data quality and regulatory compliance.
• Create impactful visualizations and communicate findings to diverse audiences.
• Help advance innovative data science capabilities throughout the organization.

Skills

Python or R

Data storytelling

Communication

Collaboration

Education

Master's degree in Statistics, Mathematics, Actuarial Science, Computer Science, or another quantitative field

Tools

Scikit-Learn

XGBoost

TensorFlow

PyTorch

SQL Server

Snowflake

Job description

Safety National is seeking a Senior Data Scientist in St. Louis to solve complex business challenges through advanced analytics and machine learning.

You will partner with claims, underwriting, actuarial, and other stakeholders to transform large datasets into actionable insights and deploy robust predictive models while ensuring data quality and compliance. You will create meaningful visualizations, communicate technical findings to diverse audiences, and contribute to advancing data science