TERM: Spring 2025 (May 5, 2025 - August 22, 2025) 

 

ABOUT CHUBB:

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. 

The insurance companies of Chubb serve multinational corporations, mid-size and small businesses with property and casualty insurance and services; affluent and high net worth individuals with substantial assets to protect; individuals purchasing life, personal accident, supplemental health, homeowners, automobile and other specialty insurance coverage; companies and affinity groups providing or offering accident and health insurance programs and life insurance to their employees or members; and insurers managing exposures with reinsurance coverage.

 

KEY OBJECTIVE:

This position offers the opportunity to leverage the entire spectrum of AI tools towards solving a wide variety of business problems as well as unique challenges in problem-solving. The focus is on applying a combination of industry-standard practices and innovative ideas using structured and unstructured data from multiple sources and applying AI, machine learning and statistical techniques to build, evaluate and implement models.

 

MAJOR RESPONSIBILITIES:

Work closely with team of data scientists to design, build, and test machine learning models to solve complex business challenges. Work with large structured and unstructured datasets across multiple source systems to generate insights and solve business problems. Implement advanced statistical and deep learning models to solve problems related to forecasting, pricing, underwriting and risk engineering.  Build production quality solutions and work with IT/AI Engineering teams to integrate them in business applications. Present results to both technical and non-technical leaders.

QUALIFICATIONS:

Pursuing undergraduate or graduate degree in computer science, computer engineering, statistics or other quantitative fields.Experience in Python programming including common libraries such as Scikit Learn, Pandas, Numpy, NLTK etc. Knowledge of databases and approaches to extracting data preferred.Familiar with the development of machine learning & deep learning models. Text Analytics & Natural Language Processing experience preferred.

 

Please submit a cover letter, resume, and unofficial transcript as part of your application.

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.

For additional information about Chubb or its services, please visit our website at http://www.chubbinsurance.ca.