Data Scientist

Brown & Brown, Inc.
United States
17 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$75,000 - $110,000
Working hours
Regular working hours

Tech stack

Artificial Intelligence Data Analysis Data Architecture Information Engineering Data Governance Machine Learning Enterprise Data Management

Job description

Lead data science and advanced analytics initiatives supporting underwriting, operational performance, and risk management. Develop, validate, deploy, and monitor explainable predictive models in a regulated insurance environment. Translate business needs into scalable analytical solutions, partner with governance and risk stakeholders, lead data scientists and analysts, and communicate insights to senior leaders. The role also supports enterprise data platforms, modern architectures, responsible AI, regulatory compliance, and data-driven organizational change., 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.

Requirements

  • Bachelor’s Degreen 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.
  • Experience in the insurance industry, including risk, and regulatory considerations. Preferred
  • Master’s Degreen in Data Science, Engineering or related field. Preferred

Benefits & conditions

$75,000 - $110,000 Annual

The pay range provided above is made in good faith and based on our lowest and highest annual salary or hourly rate paid for the role and takes into account years of experience required, geography, and/or budget for the role.

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.

Apply for this position

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Apply on www.builtincolorado.com
Prepare application

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