Senior Data Scientist

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

At Safety National, we don’t just offer jobs – we build careers with purpose! Since 1942, we’ve been an industry leader, valuing integrity, teamwork, and stability while providing competitive rewards, top-tier benefits, career growth opportunities, and flexible work options that promote balance. With tuition reimbursement, wellness perks, and a strong community impact, we invest in your success—both personally and professionally.

Ready to grow with us?

This opportunity is in the Advanced Analytics department.

Curious about data science and analytics? Our Data Analytics department seeks those passionate about using data to tell business stories, inform decision making and solve business problems. If you are a curious professional with education or experience in data science, statistics, and machine learning, this is an excellent opportunity to be part of a highly impactful, innovative and diverse team.

Role Description

As a Senior Data Scientist, you will play a key role in solving complex business challenges through advanced analytics and machine learning. You will partner with cross‑functional stakeholders across claims, underwriting, actuarial, and other business areas to transform large, complex datasets into actionable insights that drive business decisions. In this role, you will develop, deploy, validate, and optimize predictive models while ensuring data quality, regulatory compliance, and reproducible analytical processes. You will also create impactful visualizations and communicate technical findings to a variety of audiences, while helping advance innovative data science capabilities throughout the organization.

Qualifications

Education

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

Required Qualifications

• 6 or more years of experience as a Data Scientist with a focus on machine learning and predictive modeling.
• Strong proficiency with Python or R and relevant machine learning libraries such as Scikit-Learn, XGBoost, TensorFlow, or PyTorch.
• Strong understanding of statistical modeling, machine learning techniques, and risk assessment within an insurance environment.
• Extensive experience working with relational databases (such as Microsoft SQL Server) and cloud‑based data warehouses (such as Snowflake).
• Advanced SQL skills for data retrieval, transformation, and analysis.
• Excellent communication skills with the ability to explain complex technical concepts to diverse stakeholders.
• Must be presently authorized to work in the U.S. without a requirement for work authorization sponsorship by our company for this position now or in the future.
• This position allows for a hybrid work schedule which includes a minimum of 3 days per week in our St. Louis Corporate Office, located at 1832 Schuetz Rd. Saint Louis, MO. All employees are required to submit work from home requests and follow our Work From Home policy, which will be provided to all candidates selected to interview.

Preferred Qualifications

• Experience with generative AI solutions and integrating them into workflows to improve operational efficiency and solve business problems.
• Familiarity with insurance‑specific data sources, regulatory requirements, and industry standards.
• Knowledge of database design principles to create efficient and scalable data structures.

Protect the confidentiality, integrity and availability of information and technology assets against unauthorized disclosure, destruction and/or alteration, in accordance with Safety National policies, standards, and procedures.

Safety National is a leading specialty insurance and reinsurance provider. Our culture is built upon relationships, which allow us to demonstrate our expertise gained through our rich 80‑year history. As a wholly‑owned subsidiary of Tokio Marine, Inc., we appreciate the benefits and support provided by our affiliation with one of the top 10 insurance companies in the world.

Total Rewards That Put Employees First

In our vision to be First with Co‑Workers, compensation that includes base salary, holiday bonus, and incentive awards is only a small portion of the comprehensive total rewards package we offer. Our total rewards approach recognizes and rewards the time, talents, efforts, and results of our valued employees. Highlights of our exceptional benefits include generous health, dental, and vision coverage, health savings accounts, a 401(k)-retirement savings match and an annual profit sharing contribution. We proudly offer family forming benefits for adoption, fertility, and surrogacy, generous paid time off and paid holidays, paid parental and caregiver leave, a hybrid work environment, and company‑paid life insurance and disability. To support employees in their career journeys, we provide professional growth and development opportunities in addition to employee recognition and well‑being programs.

Safety National is committed to fair, transparent pay and we strive to provide competitive, market‑based compensation. In our vision to be First with Co‑Workers, compensation is only one piece of the comprehensive total rewards package we offer. The target base salary range for this position is $116,500 to $150,500. Compensation for the successful candidate will consider the candidate’s particular combination of knowledge, skills, competencies, experience and geographic location.