Senior Data Scientist

Chubb is a world leader in insurance. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. The company is distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally. 

Key Objective:

The Global Analytics team is seeking a Sr. Data Scientist to join our fast-paced, dynamic team responsible for developing and delivering machine learning models and AI solutions in Claims space. Our work directly impacts our business partners and positively influence business metrics.  

This position offers the opportunity to leverage the entire spectrum of AI tools including transformer-based models, LLMs and RAG-based approaches towards solving a wide variety of business problems at Chubb. The role further requires one to be proficient in managing and leading projects from conception to completion.

Major Responsibilities:

• Utilize an extensive understanding of AI and machine learning to develop predictive models and algorithmic solutions.
  Build analytical solutions for complex P&C claims operations.
• Collaborate with claims business partners and peers in the organization to understand and scope the problem, gather business requirements, and plan projects tasks and timelines.
• Build data pipelines to create insurance specific risk signals from external data sources.
• Develop AI Ops processes for efficient development and deployment of models.
• Research, recommend, and implement AI methodologies appropriate for the given risk assessment problem or analysis.
• Mentor junior data scientists towards improving their domain knowledge, modeling capabilities, and developing problem solving skills.
• Lead end-to-end projects using advanced data modeling and analysis techniques to discover insights that guide strategic decisions and uncover opportunities.

• At least 5 years' experience in quantitative analytics or predictive modeling. P&C insurance experience is a plus.
• Bachelor’s or Master’s degree in a computational science or statistical field is preferred.
• Extensive knowledge and experience in developing and implementing machine learning algorithms and models.
• Deep understanding of statistical and predictive modeling concepts, machine learning algorithms, data mining, unstructured data analytics, and its mathematics.
• Proficiency in scripting languages: Python; database languages: SQL.
• Proven ability to drive business results with data-based insights.
• Strong problem-solving skills with an emphasis on product development.
• Excellent written and verbal communication skills.

At Chubb we are committed to providing equal employment opportunities to all employees and applicants. It is our policy to provide equal employment opportunities to employees and applicants based on job-related qualifications and ability to perform a job. If you require an accommodation during the hiring process or upon hire, please inform Human Resources.  If a selected applicant requests accommodation during the recruitment process, Chubb will consult with the applicant in order to provide suitable accommodation that takes into account the applicant’s accessibility needs.