FM Global is a leading property insurer of the world's largest businesses, providing more than one-third of FORTUNE 1000-size companies with engineering-based risk management and property insurance solutions. FM Global helps clients maintain continuity in their business operations by drawing upon state-of-the-art loss-prevention engineering and research; risk management skills and support services; tailored risk transfer capabilities; and superior financial strength. To do so, we rely on a dynamic, culturally diverse group of employees, working in more than 100 countries, in a variety of challenging roles.
As a Senior Data Scientist, you will focus on translating business needs into analytics, interpretation of analytics into business applications, advanced technologies and artificial intelligence solutions. This role will provide you with the opportunity to innovate, explore and build solutions for FM Global using emerging technologies. You will develop and apply artificial intelligence, machine learning, and deep learning to various business problems in loss prevention.
You’ll be part of a leading-edge and diverse team of sophisticated data and analytics professionals. You’ll work alongside multiple departments including operations, innovation, business technology transformation, underwriting and engineering to streamline artificial intelligence efforts. Through constant learning, innovation, discovery and collaboration you’ll not only help FM Global deliver on the promise of loss prevention, you’ll also grow your career and the scope of your impact across the company.
You will use your creativity and leverage a vast array of techniques and tools. You will plan, conduct, and direct the development and evaluation of real-world, large-scale problems using artificial intelligence/machine learning with minimal or limited supervision.
Your projects will be interesting, exciting and challenging. You will use advanced analytics with artificial intelligence to advance the mission and goals of FM Global.
Ph.D. in Data Science, Statistics, Applied Mathematics or other relevant fields with 2+ years of business experience (or Master’s degree with 10+ years of business experience)
Proficiency in MS Office Applications including Excel, Word, PowerPoint, Access
Advanced skills in R, Python, Java, Lisp, Prolog or Scala
Solid understanding of probability, statistics, linear algebra and mathematical optimization
Intermediate to advanced knowledge of and experience in Artificial Intelligence (AI) Platforms such as Google Cloud Machine Learning Engine, IBM Watson Studio, TensorFlow
Advanced knowledge of and experience in
Natural Language Processing
Natural language Understanding
Expertise in the analysis of data from a variety of sources
Experience in transforming and converting unstructured data sets into structured data products
Experience in design, validation and testing of algorithms and systems
Highly analytical with strong problem-solving skills
Strong attention to detail
Strong verbal and written communication skills
Desire and ability to work well with others in a team environment and across disciplines strongly preferred
Understanding of and experience in Agile development process strongly preferred
General business knowledge related to risk management and/or insurance is a plus