Solving real-world business problems for all lines of business at Chubb using analytics-driven technology platforms
Requirements
- Programming experience in Python required
- Experienced with the development and implementation of machine learning and statistical models
- Experience with Docker, MLFlow, or Flask preferred
- A good understanding of databases and approaches to extracting data
- Ability to write and maintain custom classes
- Experience hosting machine learning models as APIs preferred
- Experience with machine learning and statistical models
Responsibilities
- Applying a combination of industry-standard practices and innovative ideas to build, evaluate, and implement models
- Utilizing structured and unstructured data from multiple sources
- Employing AI, machine learning, and statistical techniques to build, evaluate, and implement models
- Developing ML models
- Engaging with engineering teams to deploy models as APIs on various cutting-edge platforms
- Writing and maintaining custom classes
- Hosting machine learning models as APIs
Other
- Bachelor’s or Master’s degree in Computer Science, Mathematics, or Statistics preferred
- 5+ years of analytics background
- Experience in the Insurance or Financial services industry is required
- Collaboration, knowledge sharing, and keeping up to date on emerging industry trends
- Passion for solving business problems through analytics
