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Live In 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 ... Employees who live within 30 miles of the TMG home office are expected to follow a hybrid or in ...

Berkley

Actuary/Data Scientist

Greenwich, CT · On-site

Provide support and guidance to others who are at earlier stages in their data science or AI journey. Qualifications Qualifications: 4-7 years of relevant actuarial, technical, or research experience.

Aegon

Lead Business Systems Analyst - Actuarial IT

Denver, CO · On-site

$112K - $146K/yr

... Science, ora relatedfield. * Proven experience as a Business Analyst in an IT, actuarial, data ... Helping people live their best lives. As a leading global investor and employer, the company seeks ...

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How much do live in actuarial data scientist jobs pay per year?

As of Aug 27, 2026, the average yearly pay for live in actuarial data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the difference between Live In Actuarial Data Scientist vs Remote Actuarial Data Scientist?

AspectLive In Actuarial Data ScientistRemote Actuarial Data Scientist
Work EnvironmentOn-site, living at the employer's locationRemote, working from any location
CredentialsActuarial certifications, data science skillsActuarial certifications, data science skills
Industry UsageInsurance, finance companies with on-site rolesInsurance, finance companies with remote roles
Search IntentJobs requiring on-site presenceJobs offering remote work options

The main difference between a Live In Actuarial Data Scientist and a Remote Actuarial Data Scientist lies in the work environment. Live In roles require living at the employer's location, often in specialized facilities, while remote roles allow working from anywhere. Both roles typically require similar credentials and are used across insurance and finance industries. Your choice depends on your preference for on-site versus remote work.

What cities are hiring for Live In Actuarial Data Scientist jobs?

Cities with the most Live In Actuarial Data Scientist job openings:

What are the most commonly searched types of Actuarial Data Scientist jobs?

The most popular types of Actuarial Data Scientist jobs are:

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States with the most job openings for Live In Actuarial Data Scientist jobs include:

Live In Actuarial Data Scientist jobs near you

Actuarial Data Scientist

Berkshire Hathaway GUARD Insurance Companies

Manhattan, NY • On-site

$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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