Safety National Casualty Corporation

Senior Data Scientist

Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree in Statistics, Mathematics, Actuarial Science, Computer Science, or a quantitative field.
  • 6+ years of experience as a Data Scientist focused on machine learning and predictive modeling.
  • Proficient in Python or R and machine learning libraries like Scikit-Learn, XGBoost, TensorFlow, or PyTorch.
  • Strong understanding of statistical modeling and risk assessment in insurance.
  • Experience with relational databases like Microsoft SQL Server and cloud data warehouses like Snowflake.
  • Advanced SQL skills for data handling and analysis.
  • Excellent communication skills for explaining complex concepts.

Responsibilities

  • Solve complex business challenges using advanced analytics and machine learning.
  • Collaborate with cross-functional teams in claims, underwriting, and actuarial departments.
  • Transform large datasets into actionable insights that drive decision-making.
  • Develop, deploy, validate, and optimize predictive models while ensuring data quality.
  • Create impactful visualizations and communicate findings to diverse audiences.
  • Advance innovative data science capabilities across the organization.

Benefits

  • Generous health, dental, and vision coverage.
  • Health savings accounts and a 401(k) retirement savings match.
  • Annual profit sharing contribution.
  • Family forming benefits including adoption, fertility, and surrogacy support.
  • Generous paid time off and holidays, plus paid parental and caregiver leave.
  • Hybrid work environment with flexibility.
  • Professional growth and development opportunities, along with employee recognition programs.
Full Job Description
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.

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. Apply today to learn more.

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.

#LI-Hybrid

About Safety National Casualty Corporation

Safety National Casualty Corporation is a specialty insurance company that provides a range of insurance products and services to businesses and individuals. The company was founded in 1942 and is headquartered in St. Louis, Missouri. Safety National Casualty Corporation has a strong financial position and is rated A+ by A.M. Best. The company's products include workers' compensation insurance, excess and surplus lines insurance, and other specialty insurance products.
Learn more about Safety National Casualty Corporation
Size
500 employees
Industry
Net Income
$100 million
5 Year Trend
+5%
Revenue
$1 billion

Similar Jobs

More Jobs at Safety National Casualty Corporation

More Finance & Insurance Jobs

Find similar Senior Data Scientist jobs: