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Executive Actuarial Data Scientist Jobs (NOW HIRING)

The Mutual Group

Actuarial Data Engineer

Iowa, LA · On-site +1

$91K - $130K/yr

The Actuarial Data Engineer will partner with actuarial, data science, and finance teams to deliver reliable and well-structured data solutions that support analytical workflows and business insights.

Berkley

Actuary/Data Scientist

Greenwich, CT

Responsibilities The Actuary/Data Scientist will leverage strong analytical and coding skills to ... Communicate results effectively to actuarial peers, management, and non-technical audiences.

Berkley

Actuary/Data Scientist

Greenwich, CT · On-site

Responsibilities The Actuary/Data Scientist will leverage strong analytical and coding skills to ... Qualifications Qualifications: • 4-7 years of relevant actuarial, technical, or research ...

Berkley

Actuary/Data Scientist

Greenwich, CT

The Actuary/Data Scientist will leverage strong analytical and coding skills to support data ... Qualifications: • 4-7 years of relevant actuarial, technical, or research experience. • Strong ...

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Executive Actuarial Data Scientist information

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$46K

$165K

$243.5K

How much do executive actuarial data scientist jobs pay per year?

As of Aug 28, 2026, the average yearly pay for executive actuarial data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is the difference between Executive Actuarial Data Scientist vs Actuarial Data Scientist?

AspectExecutive Actuarial Data ScientistActuarial Data Scientist
CredentialsTypically requires ASA/FCAS, advanced analytics certifications, and leadership experienceRequires ASA/FCAS, strong statistical and programming skills, often less leadership focus
Work EnvironmentStrategic roles in senior management, cross-department collaborationTechnical roles focused on modeling, data analysis, and predictive analytics
Employer & Industry UsageUsed in insurance companies, consulting firms, and financial institutions at senior levelsCommon in insurance, reinsurance, and analytics firms at technical levels

The main difference between an Executive Actuarial Data Scientist and an Actuarial Data Scientist lies in their level of responsibility and focus. The Executive role involves strategic decision-making and leadership, often requiring advanced credentials and experience. In contrast, the Actuarial Data Scientist primarily focuses on technical data analysis and modeling. Both roles are vital in the insurance industry but serve different functions within organizations.

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Executive Actuarial Data Scientist jobs near you
Infographic showing various Executive Actuarial Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Actuarial Data Scientist

Manhattan, NY • On-site

Berkshire Hathaway GUARD Insurance Companies
Insurance Services • 1 - 5K employees
Learn more about Berkshire Hathaway GUARD Insurance Companiesexternal

$120K - $190K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago

Job description

Overview
Good Things Start Here.
Good things are happening at Berkshire Hathaway GUARD Insurance Companies-an A+ (Superior) rated, nationwide Property & Casualty insurer backed by Berkshire Hathaway. With supportive leadership, collaborative teams, and opportunities to grow, GUARD is a place where people build meaningful, long-term careers.
Good Things You Can Count On.
  • Hybrid schedule: 2 days remote / 3 in-office
  • Competitive pay + generous PTO
  • Medical, dental & vision starting day one
  • 401(k), tuition reimbursement & longevity bonuses

Responsibilities
We're seeking an Actuarial Data Scientist that would be reporting to the AVP, Data Science & Commercial Lines Pricing. This role combines actuarial analytics, predictive modeling, and technical leadership to advance pricing sophistication, risk segmentation, underwriting performance, and profitability. The successful candidate will help modernize actuarial modeling practices, develop scalable analytical solutions, and promote the adoption of data science and software engineering best practices throughout the organization.
Day-to-day:
  • Partner with actuarial to develop analytical solutions that improve pricing sophistication, risk segmentation, underwriting performance, and profitability.
  • Develop and enhance pricing, segmentation, profitability, and risk selection models across Commercial Lines products using both actuarial methodologies and modern machine learning techniques.
  • Apply advanced analytics to pricing, underwriting, claims, and other insurance datasets to identify trends, emerging risks, and opportunities for profitable growth.
  • Support rate reviews, indication analyses, profitability studies, portfolio management, and other pricing initiatives through advanced analytical techniques.
  • Develop predictive models using GLMs and other statistical and machine learning approaches while balancing predictive performance, business value, interpretability, and regulatory considerations.
  • Research and evaluate internal and external data sources to enhance underwriting, pricing, and portfolio insights.
  • Build scalable, production-ready analytical workflows and collaborate with data engineering and technology teams to operationalize models and analytical solutions.
  • Promote best practices in model development, coding standards, testing, documentation, version control, reproducibility, model governance, and performance monitoring.
  • Provide technical guidance and mentorship to actuarial and analytical teams, helping advance the adoption of modern data science and software development practices.
  • Communicate analytical findings and recommendations to technical and non-technical audiences, including senior leadership, and help drive adoption of analytical solutions across the organization.

Qualifications
Required
  • Bachelor's degree in Actuarial Science, Statistics, Mathematics, Data Science, Computer Science, Engineering, Economics, or a related quantitative field.
  • 3-5 years of experience in Actuarial Data Science field
  • Experience developing predictive models and advanced analytical solutions in a business environment.
  • Strong proficiency in Python, including development of production-quality analytical code.
  • Advanced SQL skills for large-scale data extraction, transformation, and analysis.
  • Experience working with large, complex datasets and statistical modeling techniques.
  • Strong communication, collaboration, problem-solving, and stakeholder management skills.
  • Ability to work independently in a fast-paced environment.

Preferred
  • Experience working with actuarial pricing methodologies.
  • Experience with Commercial Lines products such as Workers Compensation, Commercial Auto, General Liability, Businessowners (BOP), Professional Liability, Umbrella, or similar coverages.
  • Experience leading actuarial or analytical modernization initiatives.
  • Familiarity with Git or Azure DevOps, code review processes, CI/CD concepts, package management, and collaborative development workflows.
  • Familiarity with model governance, validation, and monitoring frameworks.
  • Candidates with combined actuarial and data science backgrounds are strongly encouraged to apply.

Applicants must be authorized to work in the U.S. without current or future sponsorship
Salary Range:
$120,000 - $190,000.
In addition to base salary, this role will be eligible for a short-term incentive plan (performance-based bonus), subject to individual and company performance.
The annual base salary range posted represents a broad range of salaries around the U.S. and is subject to many factors including but not limited to credentials, education, experience, geographic location, job responsibilities, performance, skills and/or training.
The successful candidate is expected to work in our NYC office 3 days per week and also be available for travel as required.
Interview Integrity Notice: Berkshire Hathaway GUARD is committed to a fair and consistent hiring process. Candidates are expected to participate independently in interviews. Unauthorized recording, transcription, AI note-taking, or AI interview assistance tools may not be used during interviews without prior approval.

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