About the role

  • Senior Data Scientist applying advanced analytics and data science techniques for P&C insurance solutions. Collaborating with stakeholders to improve pricing accuracy and risk management.

Responsibilities

  • Design, develop, and maintain predictive models, algorithms, and analytical solutions supporting pricing, underwriting, claims, and other P&C insurance functions
  • Apply advanced analytics and machine learning techniques to identify trends, risks, and business opportunities
  • Translate business and strategic objectives into clear analytics, reporting, and data requirements
  • Analyze large, complex datasets (structured and unstructured) using SQL, Python, Spark, or similar tools
  • Document, present, and explain modeling methodologies and results for business partners and regulatory review
  • Identify, evaluate, and integrate internal and external data sources to meet business needs
  • Collaborate with cross-functional teams to deliver practical, production-ready analytical solutions
  • Promote analytics best practices and provide consultation on data-driven initiatives
  • Evaluate third-party data, models, and analytical tools in partnership with vendors

Requirements

  • 6+ years of advanced analytics, data science, or predictive modeling experience
  • 3+ years of Property & Casualty insurance experience (strongly preferred in commercial P&C pricing, rating, or risk-tiering models)
  • Strong knowledge of P&C insurance data, data sources, and business processes
  • Proficiency in Python, R, SAS, or similar statistical programming languages (experience with at least two preferred)
  • Experience working with large datasets using SQL, Spark, or cloud-based data platforms
  • Familiarity with MLOps and machine learning platforms such as Databricks, Snowflake, Dataiku, or similar
  • Strong written and verbal communication skills with the ability to explain complex analytics to business audiences
  • Self-motivated, analytical, and collaborative mindset

Benefits

  • Medical & Prescription Insurance
  • Health Savings Account
  • Dental Insurance
  • Vision Insurance
  • Short and Long Term Disability
  • Flexible Spending Accounts
  • Life and Accidental Death & Disability
  • Accident and Critical Illness Insurance
  • Employee Assistance Program
  • 401(k) Plan with Company Match
  • Pet Insurance
  • Paid Time Off. Standard first year PTO is 17 days, pro-rated based on month of hire. Enhanced PTO may be available for experienced candidates
  • Bonus eligible based on performance

Job title

Senior Data Scientist

Job type

Experience level

Senior

Salary

$139,735 - $174,669 per year

Degree requirement

Postgraduate Degree

Location requirements

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