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Insurance Statistician Jobs in Virginia (NOW HIRING)

Insurance Agent

Hanover, VA · On-site

$75K - $105K/yr

About the Insurance Broker position We are looking for a skilled Insurance Broker to join our team ... Good knowledge of computers and statistics methods * Strong communication, presentation and sales ...

About the Insurance Broker position We are looking for a skilled Insurance Broker to join our team ... Good knowledge of computers and statistics methods * Strong communication, presentation and sales ...

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Insurance Statistician information

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 is a statistician in insurance called?

A statistician in insurance is often referred to as an actuarial analyst or actuary. These professionals analyze data to assess risk, develop pricing models, and support insurance underwriting, often requiring certification from actuarial societies and proficiency in statistical software. Their work helps determine policy premiums and reserve calculations within insurance companies.

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.

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.

Are statisticians still in demand?

Insurance statisticians are in steady demand due to the ongoing need for risk assessment, data analysis, and predictive modeling in the insurance industry. Strong skills in statistical software, data management, and certifications like ASA can enhance job prospects in this field.
What are the most commonly searched types of Insurance Statistician jobs in Virginia? The most popular types of Insurance Statistician jobs in Virginia are:
What are popular job titles related to Insurance Statistician jobs in Virginia? For Insurance Statistician jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Insurance Statistician jobs in Virginia look for? The top searched job categories for Insurance Statistician jobs in Virginia are:
Infographic showing various Insurance Statistician job openings in Virginia as of July 2026, with employment types broken down into 1% As Needed, 71% Full Time, 23% Part Time, and 5% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.
Statistician (Full-time, Remote)

Statistician (Full-time, Remote)

Integrity Management Services, Inc.

Alexandria, VA • On-site, Remote

$65K - $95K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

About Us
http://www.integritym.com
Integrity Management Services, Inc. (IntegrityM) is an award-winning, women-owned small business specializing in assisting government and commercial clients in compliance and program integrity efforts, including the prevention and detection of fraud, waste and abuse in government programs. Results are achieved through data analytics, technology solutions, audit, investigation, and medical review.
At IntegrityM, we offer a culture of opportunity, recognition, collaboration, and supporting our community. We thrive off of these fundamental elements that make IntegrityM a great place to work. Our small, flexible workplace offers an exceptional quality of life and promotes corporate-driven sustainability. We deliver creative solutions that exceed goals and foster a dynamic, idea-driven environment that nurtures our employees' professional development. Large company perks...Small company feel!
Description
We are seeking a Statistician to join our Data Analytics team. In this role, the Statistician will provide statistical and analytical support for healthcare data analysis projects using a variety of statistical methods and analytical tools. Working under the guidance of senior analytical staff, the Statistician will develop, analyze, and interpret complex datasets to support program integrity, healthcare operations, and business decision-making. This position works both independently and collaboratively with data analysts, statisticians, and project leadership to produce high-quality deliverables for clients.
Responsibilities
  • Perform data extraction, cleaning, validation, transformation, and maintenance across multiple data sources.
  • Conduct statistical analyses and quantitative data mining to identify trends, patterns, anomalies, and other meaningful insights.
  • Develop reports, dashboards, summaries, and visualizations to communicate analytical findings.
  • Compile, validate, interpret, and present data to support operational and business objectives.
  • Perform statistical programming and data analysis using analytical software and programming languages.
  • Design and execute database queries to retrieve and analyze data from large datasets.
  • Prepare clear, concise, and accurate reports, memoranda, data files, and presentations for internal and external stakeholders.
  • Communicate analytical methods, assumptions, and results to both technical and non-technical audiences.
  • Support internal quality reviews, audits, and data validation activities.
  • Participate in team projects, methodology discussions, and continuous process improvement initiatives.
  • Stay current on statistical methods, healthcare industry trends, data analytics technologies, and applicable regulations.
  • Perform ad hoc analyses and other duties as assigned.
  • Maintain compliance with all applicable privacy, security, and confidentiality requirements.
  • Adhere to IntegrityM policies and client requirements governing the protection of sensitive information.

Requirements
Qualifications
  • Bachelor's degree in Statistics, Biostatistics, Mathematics, Computer Science, Data Science, or a related quantitative field.
  • Minimum of two years of experience using statistical programming languages (e.g., SAS, Python, R, or SQL).
  • Preferred experience with statistical methodologies and relational databases.
  • Minimum of three years of experience analyzing healthcare, health insurance, or government healthcare program data.
  • Preferred experience working with healthcare claims, clinical, financial, or administrative datasets.
  • Advanced knowledge of statistical analysis, quantitative methods, and analytical problem solving.
  • Proficiency with Python, Databricks, SAS, SQL, Excel, Word, PowerPoint, and other analytical tools.
  • Experience developing queries, analyzing large datasets, and interpreting complex data.
  • Strong written and verbal communication skills with the ability to explain technical concepts to non-technical audiences.
  • Strong organizational, analytical, and problem-solving skills.
  • Ability to work independently while collaborating effectively within a multidisciplinary team.
  • Ability to manage multiple priorities and meet established deadlines.
  • Passion for supporting healthcare program integrity and IntegrityM's mission, vision, values, and operating principles.

Benefits
This position is eligible for the benefits applicable to full-time regular employees, such as: vacation, sick leave, paid holidays, health insurance, dental insurance, vision insurance, short- and long-term disability, life insurance, employee assistance plan, 401(K) retirement plan, and educational benefits.
U.S. remote annual salary range: $65,000-$95,000/annual
For candidates in jurisdictions requiring range disclosure, this is the good-faith range for this role; final pay may vary by work location and job-related factors such as skills, experience, location, and internal equity. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
IntegrityM is an Equal Opportunity Employer and we do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, and gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.