Senior Data Scientist

Brown & Brown Insurance

. Lead the development and delivery of data science and advanced analytics solutions supporting underwriting insight, operational performance, and risk management.

Posted 10/27/2026full-timeRemote • United StatesSenior💰 $75,000 - $110,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and delivering data science solutions, with a strong focus on data governance, predictive modeling, and compliance within the insurance industry. Proven ability to lead teams, communicate insights effectively, and drive organizational change through data-driven strategies.

Highest-signal resume keywords

Data GovernancePredictive ModelingData EngineeringAI/ML ConceptsInsurance Industry Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceAdvanced AnalyticsEnterprise Data PlatformsModern Data ArchitecturesPredictive ModelsAnalytics EnablementRegulatory ComplianceRisk ManagementData DocumentationData Validation

Soft Skills

LeadershipCommunicationStakeholder ManagementBusiness AcumenOrganizational Change Management

Certifications & Qualifications

Bachelor’s Degree in Data ScienceMaster’s Degree in Data Science

Industry Keywords

Insurance IndustryRisk ConsiderationsRegulatory ConsiderationsData-Driven CultureEthical Considerations

About the role

Key responsibilities & impact

Lead the development and delivery of data science and advanced analytics solutions supporting underwriting insight, operational performance, and risk management.
Translate business problems into scalable analytical use cases aligned with regulatory and risk expectations.
Oversee the design, validation, deployment, and monitoring of predictive models with appropriate documentation and controls.
Partner with data governance and risk teams to ensure model explainability and compliance.
Serve as a technical lead for a team of data scientists and analysts with clear priorities and performance standards.
Communicate insights clearly to non-technical leaders to support confident decision-making.

Requirements

What you’ll need

Bachelor’s degree in Data Science, Engineering or related field.
15+ years of progressive experience in data, analytics, engineering, or related fields.
Proven success building and scaling enterprise data platforms and modern data architectures.
Deep expertise in data governance, data engineering, analytics enablement, and strong familiarity with AI/ML concepts.
Demonstrated ability to operate in a fast-paced, outcomes-driven environment with a strong bias for action.
Strong business acumen with a track record of enabling measurable business value through data.
Experience in the insurance industry, including risk and regulatory considerations. Preferred.
Exceptional communication, leadership, and stakeholder-management skills.
Experience driving organizational change and building data-driven cultures.
Strong understanding of regulatory, ethical, and security considerations related to data and AI.
Master’s degree in Data Science, Engineering or related field. Preferred.

Benefits

Comp & perks

Health Benefits: Medical/Rx, Dental, Vision, Life Insurance, Disability Insurance
Financial Benefits: ESPP; 401k; Student Loan Assistance; Tuition Reimbursement
Mental Health & Wellness: Free Mental Health & Enhanced Advocacy Services
Paid Time Off
Holidays
Preferred Partner Discounts