AVP, Lead Data Scientist

Chubb-posted 3 months ago
Full-time • Senior
Simsbury, CT
5,001-10,000 employees
Insurance Carriers and Related Activities
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Chubb's North America Data and Analytics Division is currently seeking an experienced Lead Data Scientist with 7+ years of industry experience to join our fast-paced, high-energy team. As a Lead Data Scientist for NA PC Analytics, you will perform quantitative data analysis to enable organizational decision making and develop solutions to complex business problems and create value to the business. This position offers exposure to a wide variety of analytics tools and technologies as well as unique challenges in problem-solving.

  • Provide leadership and oversight to project teams creating advanced statistical models, including commercial insurance pricing models.
  • Synthesize data to uncover inherent trends, assess impact of data on business usage, and to make recommendations for improvement.
  • Research, recommend, and implement statistical and other mathematical methodologies appropriate for the given business problem.
  • Build and deploy generalized linear models in support of our pricing modeling efforts for business lines such as homeowners, property, and casualty.
  • Perform data validation and exploratory data analyses.
  • Communicate analytical goals, approach, outcomes, and insights to both technical and non-technical audiences.
  • Translate analytical findings into relevant business insights.
  • Collaborate with business partners and peers within the organization to understand and scope the problem, gather business requirements, and develop robust model solutions that drive improvement in key business metrics.
  • Effectively communicate with key stakeholders (both technical and non-technical) in written, oral and presentation formats.
  • Create/Maintain excellent working relationships with business partners across the Chubb organization including Field, Product, Operations, IT and analytics peer groups.
  • Lead teams of junior data scientists and engineers and provide guidance and mentorship directly and indirectly.
  • Superb programming experience in Python.
  • Excellent ML modeling skills.
  • Advanced understanding of predictive and prescriptive analytics and data visualization.
  • Strong leadership skills to provide guidance and direction to project teams.
  • Data manipulation and feature engineering.
  • Exploratory data analysis and model development and solution design.
  • Programming experience in SQL.
  • Ability to communicate effectively to both technical and non-technical audiences in written, oral and presentation formats.
  • The ability to multi-task, learn new things quickly, and demonstrate excellent problem-solving skills.
  • A/B testing experience for quality engineering.
  • GLM (Generalized Linear Modeling).
  • Prior insurance and/or financial services experience.
  • Working knowledge/familiarity with Git version control.
  • Experience in architecting and consuming APIs at scale.
  • Hands-on experience with big data technologies and cloud (Databricks / Spark, Azure/AWS/GCP/Snowflake).
  • Advanced knowledge of model tuning, evaluation, and operationalization.
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