Data Scientist

JOB DESCRIPTION

Chubb is the world's largest publicly traded property and casualty insurer.

With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance, and life insurance to a diverse group of clients.

The company is distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally.

Chubb's North America Data & Analytics Division is currently seeking a Data Scientist with 1+ year of experience to develop model monitoring solutions for various types of data science applications.

This position offers exposure to a wide variety of analytic tools and technologies as well as unique challenges in problem-solving.

Be ready to leverage internal/external data sources as you monitor best-in-class model solutions.

In this role, you will:


* Collaborate with business partners and peers within the organization to understand the model and develop robust model monitoring solutions that ensure data quality and analytic accuracy.


* Execute all aspects of analytics model monitoring including exploratory data analysis, data processing, model monitoring , model deployment and monitoring.


* Ability to 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 and data issues encountered.

Qualifications


* Required:
+ Some experience utilizing both supervised and unsupervised ML algorithms.
+ Basic understanding of data mining, predictive modeling, and data visualization.
+ Programming experience in Python.
+ Programming experience in SQL.
+ 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:
+ Working knowledge/familiarity with Git version control.
+ Experience in architecting and consuming APIs at scale.


* Nice to have:
+ Advanced knowledge of model tuning, evaluation, and operationalization.
+ Experience with Deep Learning libraries (Tensorflow / Keras, PyTorch, MXNet, etc.).
+ Exper...