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Freelance Actuary Data Science Jobs (NOW HIRING)

Total Warranty Services

Chief Actuary

Boca Raton, FL · On-site +1

$110K - $129K/yr

Responsibilities include assessing business and actuarial data needs, evaluating and selecting ... Science, Mathematics, Statistics, Economics or a related field, Master's degree or MBA preferred ...

Curative HR LLC

Junior Actuary

Austin, TX

This will be a unique actuarial role combining traditional actuarial responsibilities (i.e., data science, experience studies, pricing) with operational and strategic ownership (interaction and ...

thg

VP and Lead Actuary

Worcester, MA · On-site

Responsible for actuarial, data science, and integration teams driving enhanced pricing sophistication, portfolio management, rate development and execution, third party data integration, competitive ...

Hanover Insurance Group, Inc.

Responsible for actuarial, data science, and integration teams driving enhanced pricing sophistication, portfolio management, rate development and execution, third party data integration, competitive ...

thg

VP and Lead Actuary

Worcester, MA

Responsible for actuarial, data science, and integration teams driving enhanced pricing sophistication, portfolio management, rate development and execution, third party data integration, competitive ...

Richmond National

Actuary

Glen Allen, VA · On-site

$110K - $140K/yr

Bachelor's degree in actuarial science, mathematics, data science, statistics, or related subjects. * 3+ years of relevant actuarial experience. * Prior actuarial experience supporting property lines ...

Richmond National

$110K - $140K/yr

Bachelor's degree in actuarial science, mathematics, data science, statistics, or related subjects. * 3+ years of relevant actuarial experience. * Prior actuarial experience supporting property lines ...

Richmond National

Actuary

Glen Allen, VA · On-site

$110K - $140K/yr

Bachelor's degree in actuarial science, mathematics, data science, statistics, or related subjects. * 3+ years of relevant actuarial experience. * Prior actuarial experience supporting property lines ...

Richmond National

Sr. Actuary

Glen Allen, VA · On-site

$140K - $160K/yr

Bachelor's degree in actuarial science, mathematics, data science, statistics, or related subjects. * 7+ years of relevant actuarial experience. * Prior actuarial experience supporting property lines ...

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Freelance Actuary Data Science information

What is a freelance actuary data scientist?

A Freelance Actuary Data Scientist is a professional who combines actuarial science and data science skills to analyze risk and make data-driven decisions, often working independently or on a contract basis for various clients. They use statistical modeling, programming, and machine learning to interpret complex data sets, primarily for insurance, finance, or consulting industries. By working freelance, they have the flexibility to choose projects and clients, and may provide services such as risk assessment, predictive modeling, and analytics solutions.

What are the key skills and qualifications needed to thrive as a freelance actuary data science professional?

To thrive as a Freelance Actuary Data Science professional, you need strong analytical skills, a solid background in statistics or actuarial science, and proficiency in programming, typically supported by a relevant degree or actuarial credentials. Expertise with statistical software (such as R, Python, or SAS), data visualization tools, and actuarial modeling platforms is crucial. Excellent problem-solving abilities, self-management, and clear client communication are standout soft skills in this role. These skills enable professionals to deliver accurate, actionable insights and manage diverse client projects effectively in a competitive freelance environment.

How do freelance actuary data scientists typically manage client expectations and project timelines?

Freelance actuary data scientists often work with clients who may not be familiar with complex statistical modeling or data analysis processes. Managing client expectations involves clear communication about project scope, deliverables, and realistic timelines from the outset. It's common to provide regular progress updates, set milestone reviews, and clarify technical findings in accessible language. Utilizing project management tools and maintaining transparency helps ensure both parties stay aligned and projects are delivered successfully.

What is the difference between Freelance Actuary Data Science vs Freelance Data Analyst?

AspectFreelance Actuary Data ScienceFreelance Data Analyst
Required CredentialsActuarial certifications, data science skillsData analysis skills, often no formal certification
Work EnvironmentFinancial, insurance, risk modelingBusiness, marketing, operations
Industry UsageInsurance, finance, consultingRetail, healthcare, tech
Search & Comparison IntentUnderstanding actuarial data science rolesComparing data analysis freelance opportunities

Freelance Actuary Data Science involves applying actuarial skills combined with data science techniques to assess risks and model financial outcomes, often within insurance and finance sectors. Freelance Data Analysts focus on interpreting data to inform business decisions across various industries. While both roles require analytical skills, actuary data science emphasizes risk modeling and certifications, whereas data analysis is broader and less certification-dependent.

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The most popular types of Actuary Data Science jobs are:

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Freelance Actuary Data Science jobs near you
Infographic showing various Freelance Actuary Data Science job openings in the United States as of September 2026, with employment types broken down into 82% Full Time, 9% Part Time, and 9% Contract. Highlights an 73% In-person, and 27% Remote job distribution.

Chief Actuary

Boca Raton, FL • On-site, Remote

Total Warranty Services
51 - 200 employees
Learn more about Total Warranty Servicesexternal

$110K - $129K/yr

Full-time

Re-posted 22 days ago

Key responsibilities

  • Lead the organization's actuarial function, including developing models related to pricing, reserving, forecasting, and risk analysis.

  • Partner with IT and other stakeholders to design, develop, and maintain a centralized data warehouse that consolidates enterprise data.

  • Collaborate with cross-functional teams to develop standardized metrics, dashboards, and analytical outputs to support data-driven decision-making.

Job description

Description
The Chief Actuary is responsible for leading the organization's actuarial function, including the analysis of financial risk, development of pricing strategies, and oversight of reserve adequacy. This role ensures that actuarial practices support the company's financial stability, regulatory requirements, and long-term strategic objectives. In addition, the Chief Actuary will partner closely with IT and other stakeholders to design, develop, and maintain a centralized data warehouse that consolidates enterprise data. Responsibilities include assessing business and actuarial data needs, evaluating and selecting vendors, supporting system implementation, and ensuring ongoing functionality and usability for the actuarial department. The role will also collaborate with cross-functional teams to deliver data-driven insights that inform strategic decision-making across the organization.
ESSENTIAL DUTIES & RESPONSIBILITIES
• Develop, maintain, and enhance actuarial models related to pricing, reserving, forecasting, and risk analysis
• Analyze large datasets to identify trends, drivers, and emerging risks
• Prepare reports, presentations, and recommendations for internal stakeholders and leadership
• Support financial planning, experience studies, and assumption setting
• Collaborate with underwriting, finance, product, and data teams
• Ensure compliance with regulatory, professional, and internal standards
• Participate in process improvements and automation initiatives
• Performs other related duties as assigned
• Develop Standard Operating Procedures
• Define and prioritize actuarial and enterprise data requirements to support pricing, reserving, forecasting, and risk management activities.
• Partner with IT, data engineering, and business stakeholders to design a centralized, scalable data warehouse architecture that consolidates actuarial, financial, operational, and external data sources.
• Work with IT in the evaluation, selection, and oversight of data warehouse platforms, analytics tools, and third-party vendors, ensuring alignment with the needs of the actuarial department.
• Provide actuarial leadership during system implementation, including but not limited to data mapping, validation, testing, and conversion from legacy systems.
• Establish data governance standards, including data quality, integrity, documentation, access controls, and auditability for actuarial data.
• Collaborate with cross-functional teams to develop standardized metrics, dashboards, and analytical outputs that enable data-driven decision-making.
• Oversee ongoing functionality, performance, and usability of actuarial data tools, ensuring they evolve with changing business and regulatory needs.
• Promote best practices in data management, automation, and advanced analytics within the actuarial function.
• Serve as a strategic advisor on enterprise data initiatives, leveraging actuarial insight to enhance organizational analytics and long-term planning.
• Other duties as assigned by manager
Requirements
• Bachelor's degree in Actuarial Science, Mathematics, Statistics, Economics or a related field, Master's degree or MBA preferred
• 10 years of industry-related experience including three years in upper management required
• Exceptional verbal and written communication skills with the ability to convey complex technical content to non-technical audiences
• Proficiency in actuarial modeling and statistical tools (e.g., Prophet, AXIS, Emblem).
• Strong command of analytical programming languages (e.g., Python, R, SAS, SQL).
• Deep understanding of risk, financial theory, and capital modeling
• Extensive knowledge of the principles, procedures, and best practices in the industry
• Excellent organizational skills and attention to detail
• Strong analytical and problem-solving skills
• Proficient with Microsoft Office Suite or related software
• Ability to thrive in a fast-paced, team-based environment

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