Data Scientist - Cohort Modeling

Chubb•Jersey City, NJ

About The Position

Build predictive models and analytic solutions, including cohort models, with minimal supervision to support underwriting and marketing functions. 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 technologies—including cohort modeling techniques—to 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.

Requirements

Minimum of a Bachelor’s Degree, preferably in Statistics, Mathematics, Analytics, or Computer Science.
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.
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.
Experience with statistical packages (Python, R) and/or data management (SQL) and/or programming is required.
Proficient in Microsoft Suite applications.
Excellent oral and written communication skills.
Ability to articulate an understanding of their work products, including cohort modeling results.

Nice To Haves

Advanced degree in Statistics or Predictive Analytics is strongly preferred.
Knowledge of Machine Learning techniques, AI, and cohort modeling is a plus.
Business experience and knowledge of P&C industry is a plus.
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.

Responsibilities

Build predictive models and analytic solutions, including cohort models, with minimal supervision to support underwriting and marketing functions.
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 technologies—including cohort modeling techniques—to 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.