Data Scientist Cohort Modeling

• Build predictive models and analytic solutions including cohort models with minimal supervision to support underwriting and marketing functions within Chubb
• Assist in brainstorming potential data sources that may contain predictive variables for cohort analysis. Identify acquire evaluate and document data from various internal and external sources
• Collaborate in extracting and manipulating data using data management tools focusing on cohort segmentation and tracking from internal and external sources
• Understand and combine data from multiple sources to create analytics data sets including cohort-based datasets. Develop a strong working knowledge of how current systems and data sources are populated and sourced.
• Analyze data draw meaningful conclusions and assist in developing cohort-based solutions to help drive profitability and/or growth.
• Introduce novel methodologies algorithms tools and technologiesincluding cohort modeling techniquesto solve assigned problems.
• Communicate and present findings including cohort insights to business partners to ensure successful integration of projects into business processes. Proactively follow up on any issues raised during presentations.
• Participate in developing solutions to implement models including cohort models into production. Work with IT in the design and testing of models.
• Support business requests requiring statistical analysis including cohort segmentation and performance tracking.
• May lead a small team of direct reports (1-2 analysts): create goals oversee projects on a regular basis and provide timely feedback.
• Provide training guidance and assistance to colleagues on cohort modeling and related analytics techniques.
• Collaborate with other analytics teams (e.g. Applied AI Emerging Risks) to achieve objectives including cohort-based analyses.
• Build partnerships with key counterparts to advance cohort modeling initiatives.
• Monitor the performance and usage of models including cohort models. Ensure that reports suit the needs of the audience.
• Create and maintain clear and concise documentation associated with models including cohort modeling processes and outcomes.

• Minimum of a Bachelors Degree preferably in Statistics Mathematics Analytics or Computer Science. Advanced degree in Statistics or Predictive Analytics is strongly preferred.
• 5 years of predictive analytics experience preferably in the insurance industry with demonstrated experience in cohort modeling.
• Understanding of business challenges; ability to design analytical solutions using advanced modeling techniques including cohort modeling and synthesize insights for business decision-making.
• Intermediate knowledge in statistical analysis and multivariate procedures. Knowledge of Machine Learning techniques AI and cohort modeling is a plus.
• Able to complete analytical tasks independently with some guidance if necessary.
• Strong organizational skills; able to work well under deadlines in a changing environment and perform multiple tasks effectively and concurrently. Produces accurate work products in a timely manner.
• Ability and desire to work in a fast-paced team-oriented environment.
• Business experience and knowledge of P&C industry is a plus.
• Experience with statistical packages (Python R) and/or data management (SQL) and/or programming is required. Experience with GitHub Databricks and cohort modeling libraries is a plus.
• Experience with text analytics including NLP is a plus.
• Experience with writing gen AI prompts is a plus.
• Proficient in Microsoft Suite applications.
• Excellent oral and written communication skills. Ability to articulate an understanding of their work products including cohort modeling results.

The pay range for the role is $124000 to $180000. The specific offer will depend on an applicants 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.