Job Description
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.
Job Summary
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.
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.
Qualifications
- At least 5 years' experience in quantitative analytics or predictive modeling. P&C insurance experience is a plus.
- 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.
Education
- Bachelor’s or Master’s degree in a computational science or statistical field is preferred.
The pay range for the role is $118,000 to $201,000. The specific offer will depend on an applicant’s skills and other factors. This role may also be eligible to participate in a discretionary annual incentive program. Chubb offers a comprehensive benefits package, more details on which can be found on our careers website. The disclosed pay range estimate may be adjusted for the applicable geographic differential for the location in which the position is filled.
About Us
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.
At Chubb, we are committed to equal employment opportunity and compliance with all laws and regulations pertaining to it. Our policy is to provide employment, training, compensation, promotion, and other conditions or opportunities of employment, without regard to race, color, religious creed, sex, gender, gender identity, gender expression, sexual orientation, marital status, national origin, ancestry, mental and physical disability, medical condition, genetic information, military and veteran status, age, and pregnancy or any other characteristic protected by law. Performance and qualifications are the only basis upon which we hire, assign, promote, compensate, develop and retain employees. Chubb prohibits all unlawful discrimination, harassment and retaliation against any individual who reports discrimination or harassment.
