Senior Data Scientist

1 week ago

Boston, United States Chubb Full time
Job Description

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.

Qualifications

The pay range for the role is $96,300 to $163,700. 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.

About Us

Chubb is a world leader in insurance. 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.

At Chubb, we are committed to equal employment opportunity and compliance with all laws and regulations pertaining to it. Our policy is to provide employment, training, compensation, promotion, and other conditions or opportunities of employment, without regard to race, color, religious creed, sex, gender, gender identity, gender expression, sexual orientation, marital status, national origin, ancestry, mental and physical disability, medical condition, genetic information, military and veteran status, age, and pregnancy or any other characteristic protected by law. Performance and qualifications are the only basis upon which we hire, assign, promote, compensate, develop and retain employees. Chubb prohibits all unlawful discrimination, harassment and retaliation against any individual who reports discrimination or harassment.

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