Overview
Established nearly two centuries ago FM is a leading mutual insurance company whose capital scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners who share the belief that the majority of property loss is preventable represent many of the worlds largest organizations including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions combining property loss prevention with insurance protection.
Responsibilities
As a Data Science Intern at our Innovation Analytics & AI department you will be part of a team that translates business needs into analytics interprets analytics for business applications and leverage advanced technologies to provide artificial intelligence solutions. This role will provide you with the opportunity to be part of top-notch research in the field of loss prevention.
Youll be part of a leading-edge and diverse team of sophisticated data and analytics professionals at our corporate offices in Johnston RI. Your projects will be interesting exciting and challenging and you will use your creativity and leverage a vast array of techniques and tools.
Qualifications
Actively enrolled in a Ph.D. or M.S. program in Statistics Mathematics Applied Mathematics Operations Research Industrial Engineering.
Knowledge of Generalized Linear Models Linear Models and Machine Learning OR Deterministic and Probabilistic Operations Research and Simulation
At least 1 year of experience of using R Python or SQL for data analysis
Proficiency in MS Office Applications including Excel Word PowerPoint Access
FM is an Equal Opportunity Employer and is committed to attracting developing and retaining a diverse workforce.
Required Experience:
Intern
Overview Established nearly two centuries ago FM is a leading mutual insurance company whose capital scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners who share the belief that the maj...
Overview
Established nearly two centuries ago FM is a leading mutual insurance company whose capital scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners who share the belief that the majority of property loss is preventable represent many of the worlds largest organizations including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions combining property loss prevention with insurance protection.
Responsibilities
As a Data Science Intern at our Innovation Analytics & AI department you will be part of a team that translates business needs into analytics interprets analytics for business applications and leverage advanced technologies to provide artificial intelligence solutions. This role will provide you with the opportunity to be part of top-notch research in the field of loss prevention.
Youll be part of a leading-edge and diverse team of sophisticated data and analytics professionals at our corporate offices in Johnston RI. Your projects will be interesting exciting and challenging and you will use your creativity and leverage a vast array of techniques and tools.
Qualifications
Actively enrolled in a Ph.D. or M.S. program in Statistics Mathematics Applied Mathematics Operations Research Industrial Engineering.
Knowledge of Generalized Linear Models Linear Models and Machine Learning OR Deterministic and Probabilistic Operations Research and Simulation
At least 1 year of experience of using R Python or SQL for data analysis
Proficiency in MS Office Applications including Excel Word PowerPoint Access
FM is an Equal Opportunity Employer and is committed to attracting developing and retaining a diverse workforce.
Required Experience:
Intern
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