Data Scientist - 6679
DESCRIPTION/RESPONSIBILITIES: This position offers the opportunity to leverage the entire spectrum of analytics tools towards solving a wide variety of business problems. The focus is on applying a combination of industry standard practices and innovative ideas using structured and unstructured data from multiple sources and applying AI, machine learning and statistical techniques to build, evaluate and implement models. Our team focus' on creating analytical solutions that solve real world business problems for all lines of insurance products. Analytics empowered technology platforms are changing the way we operationalize model outputs at Chubb. This role will work closely with engineering teams to deploy models as APIs into various cutting-edge platforms. This is a great opportunity to create analytic solutions for multiple lines of business, deepening your insurance product knowledge.
Responsibilities * Collaborate with business partners and peers in the organization to understand and scope the problem, gather business requirements, and plan projects tasks and timelines. * Partner with Product Owners and other data scientists on modeling projects (model development & review to implementation). * Execute all aspects of analytics initiatives including exploratory data analysis, machine learning model development, model evaluation and benefit estimation. * Build modeling frameworks that can be leveraged for multiple projects. High focus on code reproducibility and creating generalizable technology assets for analytics teams. * Create excellent working relationships with business partners across the Chubb organization, IT and analytics peer groups. * Effectively communicate results in written, oral and presentation formats. * Monitor performance of models and report findings to leadership.
QUALIFICATIONS Required Skills/Experience * 3+ years work experience, preferably in a data, software, or machine learning engineer role * Expert python and SQL programming (3+ years hands on development) * Ability to build and maintain custom classes (OOP mastery) * Experienced with development and implementation of machine learning and statistical models. * Collaboration, knowledge sharing and keeping up to date on emerging industry trends. * Passion for solving business problems through analytics. * Advanced understanding of databases and approaches to extracting data. * Desire to work in a fast passed, team-oriented environment.
Education * Masters degree in quantitative field
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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