Senior Data Scientist

Brown & Brown, Inc.

$120K — $150K *
US-AnywhereRemote in New Hampshire, US
Finance & Insurance
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's Degree in Data Science, Engineering, or related field.
  • 15+ years of experience in data, analytics, engineering, or related fields.
  • Track record of building and scaling enterprise data platforms and data architectures.
  • Expertise in data governance, analytics enablement, and familiarity with AI/ML.
  • Ability to thrive in a fast-paced, outcomes-driven environment.
  • Strong business acumen with a record of delivering measurable value through data.
  • Exceptional leadership and stakeholder-management skills.

Responsibilities

  • Lead development and delivery of data science solutions for underwriting, performance, and risk management.
  • Translate business challenges into scalable analytical use cases respecting regulatory expectations.
  • Oversee predictive model design, validation, deployment, and monitoring with necessary documentation.
  • Coordinate with data governance and risk teams to ensure model compliance and explainability.
  • Serve as a technical lead for data scientists and analysts, establishing clear priorities and standards.
  • Effectively communicate insights to non-technical leaders to support decision-making.

Benefits

  • 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 and more.
Full Job Description
The Senior Data Scientist is responsible for leading Brown & Brown's data science and advanced analytics capabilities to support informed decision-making, operational efficiency, and risk-aware growth. This role partners closely with business, technology, and risk stakeholders to design and deploy predictive analytics and modeling solutions while ensuring outputs are explainable, responsible, and appropriate for a regulated insurance environment.

How You Will Contribute
  • 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.
  • Be a technical lead in 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.


Education, Experience and Knowledge

Required:
  • 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.
  • 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.


Preferred:
  • Master's Degree in Data Science, Engineering or related field.
  • Experience in the insurance industry, including risk, and regulatory considerations.


Teammate Benefits & Total Well-Being

We go beyond standard benefits, focusing on the total well-being of our teammates, including:
  • 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
  • Beyond Benefits: Paid Time Off, Holidays, Preferred Partner Discounts and more.


Not reflective of all benefits. Enrollment waiting periods or eligibility criteria may apply to certain benefits. Benefit details and offerings may vary for subsidiary entities or in specific geographic locations.

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