Data Scientist

About the Role

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.

Nice to Have

• Experience working with I/T teams on model design and testing.
• Experience in insurance or underwriting analytics.
• Familiarity with data management tools and technologies.