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Insurance Statistician information

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$50.5K

$86.9K

$116.5K

How much do insurance statistician jobs pay per year?

As of Jun 20, 2026, the average yearly pay for insurance statistician in the United States is $86,921.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $98,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Insurance Statistician position, and why are they important?

To thrive as an Insurance Statistician, you need a strong background in statistics, mathematics, and actuarial science, typically supported by a relevant bachelor’s or master’s degree. Proficiency with statistical analysis software such as SAS, R, or Python, as well as familiarity with insurance-focused modeling systems, is vital, and professional certifications like ASA or CSPA can be advantageous. Strong analytical thinking, attention to detail, and clear communication skills help distinguish top performers in this field. These qualifications enable Insurance Statisticians to effectively interpret complex data, support business decisions, and comply with industry regulations.

What jobs pay 2000 a day?

Insurance statisticians typically do not earn $2,000 a day; such high daily rates are more common in specialized consulting, executive roles, or highly paid freelance positions. High-paying jobs often require advanced skills, certifications, or extensive experience, and earnings can vary based on industry, location, and workload.

What are the most common challenges faced by Insurance Statisticians in their day-to-day work?

Insurance Statisticians often face challenges such as working with large and sometimes incomplete datasets, ensuring the accuracy of complex risk models, and keeping up with regulatory changes that affect data reporting. They must work closely with underwriters, actuaries, and other departments to interpret data findings and translate them into actionable business strategies. Continuous learning and adaptability are essential, as industry practices and statistical techniques evolve rapidly. Despite these challenges, the role offers the satisfaction of directly impacting an organization's financial stability and customer offerings.

Are statisticians highly paid?

Insurance statisticians are generally well-paid, with salaries often above the national average for statisticians. Compensation varies based on experience, education, and location, and the role typically requires strong analytical skills and knowledge of statistical software.

What is the highest paid position in insurance?

In insurance, executive roles such as Chief Underwriting Officer, Chief Actuary, or Chief Risk Officer tend to be the highest paid positions, often earning six-figure salaries or more. These roles require extensive experience, advanced certifications, and leadership skills, and they oversee strategic decision-making and risk management within insurance companies.

What is an Insurance Statistician job?

An Insurance Statistician analyzes data related to insurance claims, policies, and risk factors to help insurers make informed decisions. They use statistical models and actuarial techniques to assess trends, calculate probabilities, and estimate future risks. Their insights support underwriting, pricing strategies, and risk management. They often work with large datasets, programming languages, and statistical software. This role helps insurance companies remain profitable while offering fair policy rates.

Is AI replacing statisticians?

AI is transforming the role of insurance statisticians by automating data analysis tasks and enhancing predictive modeling. However, statisticians are still essential for interpreting results, designing models, and ensuring data quality, as AI tools require human oversight and expertise. The profession continues to evolve with new skills in data science and machine learning becoming increasingly valuable.
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What cities are hiring for Insurance Statistician jobs? Cities with the most Insurance Statistician job openings:
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Insurance Statistician jobs near you
Infographic showing various Insurance Statistician job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 91% Full Time, and 8% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $86,921 per year, or $41.8 per hour.
Expert Statistician/Mathematician (QAF Oversight & Monitoring) - with Security Clearance

Expert Statistician/Mathematician (QAF Oversight & Monitoring) - with Security Clearance

CELESTAR CORPORATION

Reston, VA

Other

Medical, Dental, Life, Retirement, PTO

Posted 14 days ago

Job description

Celestar Corporation is seeking an Statistician/Mathematician (QAF Oversight & Monitoring) to support The Defense Intelligence Agency ( DIA) under the Object Based Intelligence and Quality Assurance (OBIQUA) task order. The primary place of performance will be at DIA Facilities across the National Capital Region (NCR). If interested and meet the qualifications, we encourage you to apply for this rewarding and impactful opportunity.

ANTICIPATED AWARD: TBD ANTICIPATED START: TBD PERIOD OF PERFORMANCE: 1 Base Year + 4 Option Years LOCATION: DIA Facilities across the National Capital Region (NCR) CLEARANCE REQUIREMENT: Active TS/SCI About Us: Celestar, a proud Veteran-Owned company, offers highly competitive salaries and benefits. Our comprehensive benefits package includes company-paid employee and family dental insurance, employee health insurance, life insurance, and disability coverage. Additionally, we provide a 401(k)-retirement plan with company matching, paid holidays, and personal time off.

Responsibilities: This opportunity will support multiple DIA initiatives, including the Machine-Assisted Rapid-Repository System (MARS), Object Management Services (OMS), and Object-Based Intelligence (OBI). • The Expert Statistician/Mathematician, (QAF Oversight & Monitoring), Develops and applies fundamental mathematics, mathematical or statistical theory to collect, organize, interpret and summarize numerical data to generate usable information to solve a wide range of intelligence problems. • Applies mathematical theories and statistical methods to solve practical problems.

• Develops mathematical or statistical models of phenomena for analysis or computational simulation. • Designs complex metrics projects that apply valid scientific techniques and utilize information obtained from baselines or historical data to structure analyses. • Plans and performs data collection for projects, determining types/sizes of sample groups and prepares data for processing by organizing information and checking for inaccuracies.

• Processes large amounts of data for statistical modeling and graphic analysis (metrics). • Develops computer code to automate the collecting and processing of data. • Produces results of analyses in graphs, charts, tables, and metrics.

Prepares products to describe and document findings and activities. • Conduct audits to ensure compliant use of AI systems for approved use-cases in all source analysis • Evaluate: AA performance and adherence to tradecraft standards and identify areas for improvement. • Develop and maintain a repository of audit findings and recommendations to facilitate knowledge sharing and best practices across the organization.

• Design and execute TEVV protocols to evaluate the performance, robustness, and fairness of AI systems in all source analysis contexts. • Develop and apply statistical models and methods to analyze TEVV results and identify areas for improvement. • Collaborate with stakeholders to develop and implement corrective actions to address TEVV findings.

• Develop and track performance metrics to evaluate the effectiveness of AI systems in all source analysis. • Analyze and interpret performance metrics to identify trends, patterns, and areas for improvement. • Collaborate with stakeholders to develop and implement data-driven decision-making processes to inform AI system development and improvement.

• Develop and refine methodologies for evaluating AI system performance, robustness, and fairness in all source analysis contexts. • Collaborate with stakeholders to develop and implement best practices for AI system development, testing, and deployment. • Publish and present research findings on AI assurance methodologies and best practices.

• Supports capability development by contributing, editing, and storing code in Government owned/controlled source version control repositories. Required qualifications/skills: • Minimum 20 years of experience conducting analysis relevant to the specific labor category with at least a portion of the experience within the last 2 years. • Master's degree in an area related to the labor category from a college or university accredited by an agency recognized by the U.S.

Department of Education. • Demonstrates ability to define problems, supervise studies and lead surveys to collect and analyze data to provide advice and recommend solutions. • Demonstrates analytic leadership and expertise in identifying, planning, developing, and executing analytic production methodologies, tradecraft and techniques aligned with labor category mission.

• Demonstrates extensive ability to provide strategic advice, technical guidance and expertise to Defense planners and policymakers. Come on board with a company that Values its Employees! Celestar Corporation is an Equal Opportunity Employer.

The Celestar Corporation prohibits discrimination, harassment, and retaliation in employment based on race; color; religion; genetic information; national origin; sex (including same-sex); sexual orientation; gender identity; pregnancy, childbirth, or related medical conditions; age; disability or handicap; citizenship status; marital status; service member/protected veteran status; or any other category protected by federal, state, or local law.

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