The Data Science team of the North America Data Analytics division at Chubb is seeking an experienced Senior Data Scientist with 4+ years of industry experience to join our fast-paced, high-energy team. This team is responsible for building data pipelines and delivering predictive modeling and data science solutions to our business partners that will meet business objectives and move-the-needle to improve upon key performance metrics.

As a Senior Data Scientist, you will develop and apply generalized linear models / machine learning solutions to complex business problems to create value for the business. This position offers exposure to a wide variety of analytics tools and technologies as well as unique challenges in problem-solving.  Be ready to leverage internal/external data sources as you lead, develop, deploy, and monitor best-in-class model solutions.

In this role you will:

Be responsible for and lead the continued development / delivery of new and existing processes.  Teach / mentor junior staff directly and indirectly.Collaborate with business partners and peers within the organization to understand and scope the problem, gather business requirements, and develop robust model solutions that drive improvement in key business metrics.Execute all aspects of analytics initiatives including exploratory data analysis, data preprocessing, model development, model deployment and monitoring.Synthesize data, to uncover inherent trends in data, to assess impact of data on business usage, and to make recommendations for improvement.Thoughtfully identify and construct predictive variables from both internal and external data sources.Research, recommend, and implement statistical and other mathematical methodologies appropriate for the given business problem.Create/Maintain excellent working relationships with business partners across the Chubb organization including Product, Actuarial, IT, and analytics peer groups.Provide supporting documentation for the models developed including documentation of methodologies used, data issues encountered, and responses to regulatory requests.Required: Hands on experience utilizing both supervised and unsupervised ML algorithms.Excellent understanding of data mining, predictive modeling, and data visualization.Advanced knowledge of model tuning, evaluation, and operationalization.Significant programming experience in either Python or R.Significant programming experience in SQL.Working knowledge/familiarity with Git version control.Ability to communicate effectively to both technical and non-technical audiences in written, oral and presentation formats.The ability to multi-task, learn new things quickly, and demonstrate excellent problem-solving skills.Preferred:Prior experience in personal lines insurance, and / or knowledge of actuarial concepts.Experience in architecting and consuming APIs at scale.Experience with Deep Learning libraries (Tensorflow / Keras, PyTorch, MXNet, etc.).Experience with Text Analytics and Natural Language Processing.Prior exposure to auto-ML platforms or technologies like H2O or DataRobot.Hands-on experience with big data technologies and cloud (Databricks / Spark, Azure/AWS/GCP).Comfortable with command line (Linux, Windows) scripting.Experience with at least one other programming language aside from Python or R, like Julia, Scala, Go, Java, or C++.Prior exposure to NoSQL databases.

 

Education:

The candidate should have 4+ years of industry experience building, deploying, and analyzing generalized linear models or machine learning models, and should hold a graduate degree in a technical field such as Statistics, Computer Science, Data Science, Bioinformatics, Physics, Mathematics, Economics or Engineering.

 

Location:

We are open to the following work locations for this position: (Philadelphia, PA - Jersey City, NJ - Whitehouse Station, NJ - Simsbury, CT). Please note there will be limited expected travel to various work locations for in person collaboration and meetings. 

 

The pay range for the role is $103,700 to $176,300. The specific offer will depend on an applicant’s 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.