1

Insurance Statistician Jobs in California (NOW HIRING)

Life Insurance for you and your family members * Short- and Long-Term Disability Retirement Savings : * Group Retirement Savings Plan (7% employer match with 5% employee contribution) Wellness ...

$127K - $236K/yr

Job Title: Lead, Statistician Job Code: 41451 Job Location: Canoga Park, CA Job Schedule: 9/80 ... L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match ...

Lead, Statistician

Canoga Park, CA · On-site

$127K - $236K/yr

Job Title: Lead, Statistician Job Code: 41451 Job Location: Canoga Park, CA Job Schedule: 9/80 ... L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match ...

The Statistical Programmer is an integral project team member in the research and development of ... vision insurance and 401(k) to eligible employees. * This job is eligible to participate in our ...

next page

Showing results 1-20

Insurance Statistician information

See California salary details

$49.8K

$85.8K

$115K

How much do insurance statistician jobs pay per year?

As of Aug 23, 2026, the average yearly pay for insurance statistician in California is $85,783.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,700.00 and $97,200.00 per year, depending on experience, location, and employer.

What is an insurance statistician?

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.

What are the key skills and qualifications needed to thrive as an insurance statistician?

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 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 insurance statisticians still in demand?

Insurance statisticians are still in demand due to the ongoing need for risk assessment, data analysis, and actuarial modeling in the insurance industry. Strong skills in statistical software, data management, and certifications such as ASA or FSA can enhance job prospects in this field.

What are the most commonly searched types of Insurance Statistician jobs in California?

The most popular types of Insurance Statistician jobs in California are:

What are popular job titles related to Insurance Statistician jobs in California?

For Insurance Statistician jobs in California, the most frequently searched job titles are:

What job categories do people searching Insurance Statistician jobs in California look for?

The top searched job categories for Insurance Statistician jobs in California are:

What cities in California are hiring for Insurance Statistician jobs?

Cities in California with the most Insurance Statistician job openings:

Infographic showing various Insurance Statistician job openings in California as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $85,783 per year, or $41.2 per hour.

Statistician

Alimentiv

Ontario, CA • Remote

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 26 days ago


Job description

Responsible for the application of biostatistical methods to support clinical trials and data management, including statistical planning, design, analysis, and reporting throughout the project life cycle in accordance with project, organizational and regulatory standards.  Act as subject matter expert, providing statistical support to project teams, quality/study auditors, and external stakeholders. Participate in the promotion of Alimentiv as a global research organization, by contributing to the development, publishing, and reporting of project data. Please note we are hiring for multiple positions at this time.
Analysis Services
  • Carry out statistical analyses and provide direction to programmers, using standard software packages to interpret and translate results within a statistical framework into biomedical terms and prepare statistical data results for inclusion in reports and research papers that meet trial, organizational and regulatory best practices, and standards.
Academic Research Support
  • Working in conjunction with the Director of Academic Research, convert and present new and novel biometrical trial technologies, processes and findings into publishable and promotable scientific processes and results.
Project Support
  • Provide statistical expertise and guidance based on established methodologies throughout the project life cycle in the areas of study policies, protocols, implementation timelines and processes, data interpretation and publication of results.
  • Work with data management team to ensure data captured incorporates and corresponds to project protocols and requirements.  
Statistical Analysis/Data Collection Planning
  • Prepare statistical analysis plan and oversee project data collection, management, and analysis with input from the project teams that incorporates the type of information collected, sample size, randomization procedures, table and listing shells, project statistical policies, protocols, and methodology to be used to appropriately translate scientific questions into statistical hypotheses.
Study Report Support
  • Assist medical director(s) and/or technical writers by preparing statistical section of study report, publications and/or presentations ensuring statistical analyses adheres to trial, sponsor, organizational and regulatory requirements, and best practices.
Qualifications
  • A minimum of a Bachelor's or Master's degree and a professional designation + 1-3 years of related experience.
 
Working Conditions
  • Home-based.
$78,000 - $130,000 a year
+ Annual Bonus - Target 8%
 

Extended Health Benefits:

  • Health
  • Drug
  • Dental
  • Vision
  • Out of Province/Country Emergency Health

Insurance & Protection:

  • Accidental Death & Dismemberment (AD&D)
  • Life Insurance for you and your family members
  • Short- and Long-Term Disability

Retirement Savings:

  • Group Retirement Savings Plan (7% employer match with 5% employee contribution)

Wellness & Lifestyle Perks:

  • Education Reimbursement of up to $1,050 CAD (or local equivalent) annually for eligible expenses
  • Summer Hours Program
  • Work Abroad Program - enjoy up to 4 weeks per year of remote work outside your home region
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
apply for this job