Data Scientist

Chubb

Jersey City, NJ

Full Time

Senior

6 days ago

Job Description

About the Role

This position will bring knowledge and expertise in modeling methodologies, dataset generation and transformation, statistical programming and analysis to Chubb. Opportunities will exist to work in a dynamic environment on a broad spectrum of global analytical initiatives, impacting underwriting and marketing. The role will be responsible for applying statistical and data mining techniques to identify profitable growth areas and optimize portfolio performance. The person will be expected to understand and analyze insurance risk factors and articulate results to the various stakeholders, including but not limited to underwriters, product managers and actuarial. The position can be based in Jersey City, NJ.

Key Responsibilities

Build predictive models and analytic solutions, with minimal supervision, to support the underwriting and marketing functions within Chubb.
Assist in brainstorming potential data sources that may contain predictive variables.
Identify, acquire, evaluate, and document data from various internal and external sources.
Collaborate in extracting and manipulating data using data management tools from internal and external data sources.
Understand and combine data from various sources to create analytics data sets.
Analyze data, draw meaningful conclusions, and assist in developing solutions to help drive profitability and/or growth.
Introduce novel methodologies, algorithms, tools, and technologies to solve assigned problems.
Communicate and present findings to business partners to ensure successful integration of projects into business process.
Proactively follow up on any issues raised during presentations.
Participate in developing solutions to implement models into production, working with I/T in the design and testing of models.
Support business requests which require statistical analysis.
May lead a small team of direct reports (1-2 analysts), create goals, oversee projects, and provide feedback.
Provide training guidance and assistance to colleagues.
Collaborate with other analytics teams to achieve objectives.
Build partnerships with key counterparts.
Monitor the performance and usage of models to ensure they meet audience needs.
Create and maintain clear and concise documentation associated with models.

Requirements

Knowledge and expertise in modeling methodologies, dataset generation and transformation, statistical programming and analysis.
Ability to build predictive models and analytic solutions.
Experience in data extraction, manipulation, and management from internal and external sources.
Strong analytical skills to analyze data and develop solutions.
Ability to communicate findings effectively to stakeholders.
Experience in developing solutions for model deployment into production.
Leadership skills to manage small teams and oversee projects.
Ability to collaborate across teams and build partnerships.