Munich Re
 Hartford, CT

In this position, the Modeler will join a multidisciplinary team of statisticians, data scientists, developers, and actuaries working to deliver cutting edge solutions to complex business problems and support HSB’s profitable growth. The primary focus of this role will be to apply statistical and machine learning methods to answer questions, provide insights, make recommendations, and optimize decisions. We are seeking a “full stack” data scientist who is comfortable working with open source libraries in a linux environment; understands database concepts and can write queries against atomic schema; is able to select modeling approaches which strike the right balance between interpretability and flexibility as the situation may call for; knows how to produce useful data visualization and tell a story that stakeholders can buy into; and is familiar with DevOps practices and cloud technologies for model deployment. More than anything we are looking for a high-energy individual who seeks out the literature and utilizes other available resources to develop new competencies when needed. Some insurance domain knowledge will be helpful but is not necessary for a candidate who is willing to learn fast.