1

Reinsurance Data Science Jobs (NOW HIRING)

Insurance and Reinsurance and Monoline Excess. Led by our Executive Chairman, founder and largest ... This role will challenge the status quo, apply modern data science and AI approaches, and translate ...

Insurance and Reinsurance and Monoline Excess. Led by our Executive Chairman, founder and largest ... This role will challenge the status quo, apply modern data science and AI approaches, and translate ...

The Vice President, Data Scientist will serve on Chubb's Global Analytics Risk Cohorts team ... insurance, reinsurance, and life insurance to a diverse group of clients. The company is ...

Insurance and Reinsurance and Monoline Excess. Led by our Executive Chairman, founder and largest ... This role will challenge the status quo, apply modern data science and AI approaches, and translate ...

... insurance, reinsurance, and life insurance to a diverse group of clients. The company is ... Graduate degrees in a technical field such as Statistics, Computer Science, Data Science ...

... insurance, reinsurance, and life insurance to a diverse group of clients. The company is ... Graduate degrees in a technical field such as Statistics, Computer Science, Data Science ...

The Data Science team of the North America Data Analytics division at Chubb is seeking an ... insurance, reinsurance, and life insurance to a diverse group of clients. The company is ...

AVP, Data Solutions Engineering

Nashville, TN ยท Hybrid

$110K - $132K/yr

What You Will Have: * Bachelor's degree in Math, Computer Science or Engineering. * Minimum ... Domain knowledge of Actuarial, Investment and Finance within Insurance/Reinsurance industry is a ...

AVP, Data Solutions Engineering

Jersey City, NJ ยท Hybrid

$119K - $143K/yr

... Science or Engineering. * Strong understanding of ETL/ELT, APIs, Cloud, data operations. * Domain knowledge of Actuarial, Investment and Finance within Insurance/Reinsurance industry is a plus.

next page

Showing results 1-20

Reinsurance Data Science information

See salary details

$37.5K

$122.7K

$196.5K

How much do reinsurance data science jobs pay per year?

As of Jun 9, 2026, the average yearly pay for reinsurance data science 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 Reinsurance Data Science vs Reinsurance Actuarial Science?

AspectReinsurance Data ScienceReinsurance Actuarial Science
Required CredentialsTypically requires a degree in data science, statistics, or related fields; certifications like SAS or Python are commonRequires a degree in mathematics, statistics, or actuarial science; actuarial certifications (e.g., ASA, FSA) are essential
Work EnvironmentData analysis, modeling, and programming within insurance or reinsurance companiesRisk assessment, pricing, and reserving using statistical models in insurance or reinsurance firms
Industry UsageGrowing in reinsurance for predictive analytics and big data applicationsEstablished role focusing on risk quantification and financial modeling

Reinsurance Data Science focuses on analyzing large datasets and developing predictive models using programming and statistical tools, while Reinsurance Actuarial Science emphasizes risk assessment and financial modeling through actuarial methods. Both roles are vital in reinsurance but differ in their technical approaches and certifications.

What is reinsurance data science?

Reinsurance data science is the application of advanced analytical, statistical, and machine learning techniques to large datasets within the reinsurance industry. Professionals in this field analyze insurance and reinsurance data to identify risks, optimize pricing, improve claims management, and support underwriting decisions. Their work helps reinsurance companies make informed decisions, improve profitability, and better manage risk portfolios. The job often requires a strong background in mathematics, statistics, programming, and a deep understanding of the insurance and reinsurance sectors.

What are the key skills and qualifications needed to thrive as a Reinsurance Data Scientist, and why are they important?

To thrive as a Reinsurance Data Scientist, you need strong analytical skills, a solid understanding of statistics and actuarial concepts, and a background in mathematics or computer science. Proficiency in programming languages like Python or R, experience with data visualization tools, and familiarity with reinsurance-specific software or platforms are typically required. Outstanding problem-solving abilities, effective communication, and business acumen help set candidates apart in this field. These skills are crucial for accurately analyzing complex risk data, building predictive models, and providing actionable insights that drive sound reinsurance decisions.

How does a Data Scientist in reinsurance typically collaborate with actuarial and underwriting teams?

Data Scientists in reinsurance often work closely with actuarial and underwriting teams to enhance risk assessment and pricing models. They provide advanced analytics, machine learning insights, and data-driven recommendations to support underwriting decisions and improve loss predictions. Regular collaboration involves sharing findings, validating models, and ensuring that technical results align with business objectives. This cross-functional teamwork is essential for developing robust solutions that meet both regulatory and client needs.
Infographic showing various Reinsurance Data Science job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 79% In-person, 14% Hybrid, and 7% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Quality Lead - Reinsurance Data Platform (Hybrid - Farmington, CT)

Archgroup

Farmington, CT โ€ข Hybrid

$140K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Job description

With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility.

The Position

As a Data Quality Lead - Reinsurance Data Platform, you will be responsible for leading quality assurance efforts of Reinsurance Datawarehouse Application used extensively by Reinsurance business teams. The QA lead will work closely with the rest of the Arch Re product management team and business peers to effectively check quality and prepare evidence for Business and Audit signoff for Datawarehouse and Business intelligence project initiatives. The Role will be overseeing the full QA process to ensure reliable, high-quality software delivery. This role establishes and communicates QA standards, coordinates all aspects of software testing, and ensures alignment with business objectives. The ideal candidate has hands-on experience validating complex data transformations, managing test automation for pipelines, and leading cross-functional teams on cloud data in high scale environments, driving continuous improvement of our data quality and delivery in a fast-paced and deadline-driven environment.

Location / Work Arrangement

This is a hybrid role based in the Farmington, CT office, with an expectation of regular in-office collaboration.

Job Responsibilities
  • Lead QA efforts of Reinsurance Datawarehouse Application releases
  • Critically analyze business requirements, build and execute QA test plan for Datawarehouse solutions.
  • Design the Master Test Plan (MTP) for data projects, choosing between manual spot-checks and automated regression suites
  • Lead a team of QA Analysts, reviewing their SQL scripts and test cases
  • Work with DevOps to integrate automated data tests into the deployment pipeline
  • Implement automated checks for data completeness and referential integrity within Snowflake
  • Verify Role-Based Access Control (RBAC) and data masking (PII/Sensitive financial data) to ensure compliance with GDPR or industry-specific regulations
  • Reconcile Power BI report against Snowflake raw data and source systems using complex SQL
  • Establish, maintain, and communicate quality assurance standards, procedures, and policies, including guidelines and best practices for test environment management.
  • Work closely with product manager to develop and execute action plans to address gaps if any
  • Produce quality control evidence for business and audit approval, as required
  • Lead User Acceptance Testing with Finance, Actuaries and Underwriters to ensure solution meets business needs
  • Communicate effectively with both the business and technical teams
  • Desired Skills
  • Extensive experience in software testing, including large-scale implementations, test automation, and data-driven frameworks.
  • Deep understanding of QA methodologies, tools, and Agile/Scrum practices.
  • Expert SQL skills (Window functions, CTEs, JSON parsing).
  • Proficiency in Power BI Desktop/Service, including DAX, Power Query (M),
  • Strong business orientation, delivering quality results aligned with organizational goals.
  • Excellent communication, organizational, analytical, and problem-solving skills.
  • Experience in Reinsurance or General Insurance (understanding of treaties, premiums, claims, and loss triangles).
  • Strong experience in Agile/Scrum environments and JIRA for defect tracking.
  • Experience with data testing automation.
  • Relevant experience working with 3rd party vendors delivering results.
Required Education/Experience
  • Bachelor's degree in computer science, Management of Information Systems, or related field required
  • Minimum of 5+ years of Datawarehouse Testing experience.
  • Testing Automation experience.
  • Experience in Reinsurance\Insurance or financial organization
  • Good Communication Skills
Working Conditions/Environment & Physical Demands
  • Normal office environment - The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this Job. Reasonable accommodations will be made to enable qualified individuals with disabilities to perform the essential functions of the Job.
  • Attendance/Punctuality - Is consistently at work and on time; Ensures work responsibilities are covered when absent.
Disclaimer

Incumbent may be asked to perform other duties as required.

#LI-Hybrid
#LI-ZP1

For individuals assigned or hired to work in the location(s) indicated below, the base salary range is provided. Range is as of the time of posting. Position is incentive eligible.

$140,000 - $160,000/year

  • Total individual compensation (base salary, short & long-term incentives) offered will take into account a number of factors including but not limited to geographic location, scope & responsibilities of the role, qualifications, talent availability & specialization as well as business needs. The above pay range may be modified in the future.

  • Arch is committed to helping employees succeed through our comprehensive benefits package that includes multiple medical plans plus dental, vision and prescription drug coverage; a competitive 401k with generous matching; PTO beginning at 20 days per year; up to 12 paid company holidays per year plus 2 paid days of Volunteer Time Offer; basic Life and AD&D Insurance as well as Short and Long-Term Disability; Paid Parental Leave of up to 10 weeks; Student Loan Assistance and Tuition Reimbursement, Backup Child and Elder Care; and more. Click here to learn more on available benefits.

Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you.If this job isn't the right fit but you're interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch's Talent Acquisition team.

10200 Arch Capital Services LLC