Senior Data Scientist
The North America PRS (Personal Risk Services) Data Science team at Chubb is seeking a 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.
Job Summary
As a data scientist for PRS, you will develop predictive modeling / machine learning solutions to complex business problems and create value to the business. 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 develop, deploy, and monitor best-in-class model solutions.
Primary Responsibilities
· Mentor Junior Data Scientists and Engineers.
· Execute all aspects of analytics initiatives including exploratory data analysis, data preprocessing, model development, model deployment and monitoring.
o Thoughtfully identify and construct predictive variables from both internal and external data sources.
o Synthesize data to uncover inherent trends, assess impact of data on business usage, and to make recommendations for improvement.
o Research, recommend, and implement statistical and other mathematical methodologies appropriate for the given business problem.
o Actively contribute to the implementation/deployment of models.
o Provide supporting documentation for the models developed including documentation of methodologies used, data issues encountered, and responses to regulatory requests.
· 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.
o Effectively communicate with key stakeholders (both technical and non-technical) in written, oral and presentation formats.
o Create/Maintain excellent working relationships with business partners across the Chubb organization including Product, Actuarial, IT, and analytics peer groups.
Skills/Experience
· Required:
o Hands on experience utilizing both supervised and unsupervised ML (Machine Learning) algorithms.
o Excellent understanding of data mining, predictive modeling, and data visualization.
o Advanced knowledge of model tuning, evaluation, and operationalization.
o Significant programming experience in either Python or R.
o Significant programming experience in SQL.
o Working knowledge with Git version control.
o Ability to communicate effectively to both technical and non-technical audiences in written, oral and presentation formats.
o The ability to multi-task, learn new things quickly, and demonstrate excellent problem-solving skills.
· Preferred:
o Experience in architecting and consuming APIs at scale.
o Comfortable with command line (Linux, Windows) scripting.
o Experience with at least one other programming language (Python, R, Julia, Scala, Go, Java, C++).
o Prior exposure to NoSQL databases.
o Hands-on experience with big data technologies and cloud (Databricks / Spark, Azure/AWS/GCP).
o Prior exposure to auto-ML platforms or technologies like DataRobot or H2O’s AutoML/Driverless AI.
o Experience with Deep Learning libraries (Tensorflow / Keras, PyTorch, MXNet, etc.).
o Experience with Text Analytics and Natural Language Processing.
· Nice to have:
o Experience in personal lines insurance.
Education
If the candidate’s background is Actuarial science, an ideal candidate would have a solid understanding of advanced actuarial techniques and statistical modeling with at least 5 years of experience and 5+ exams completed (ACAS preferred).
If the candidate does not have a background in Actuarial science, the candidate should have 4+ years of industry experience building and analyzing 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.
In Jersey City, NJ the pay range for the role is $101,000 to $172,000. 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 at https://careers.chubb.com/global/en/north-america. This range is specific to Jersey City, NJ and may not be applicable to other locations.