Data Science Analyst

Performance Objective:
Apply your expertise to prepare internal and external, structured and unstructured data
Collaborate with the actuarial team to develop text analytics capabilities
Design, build and validate models using simple and advanced modeling techniques to help business leaders quantify risks and make better decisions
Support cross-functional teams to implement models
Effectively collaborate with business stakeholders across the organization to understand business processes and problems to develop effective analytical solutions
Develop monitoring solutions for business stakeholders after model implementations to monitor the accuracy of predictions, proper usage, and business impact

Knowledge and Skills Required
Experience with Natural Language Processing (Text Analytics)
Experience with Python or “R” or similar data analysis programming language
Ability to handle sensitive and/or confidential material strictly in accordance with company policy and legal requirements
Flexibility to work outside of normal business hours and a willingness to learn
Sound analytical skills as well as problem-solving aptitude
Must be an exceptional communicator and able to make connections across the organization
Educational requirements: the ideal candidate will have a Master’s degree in Data Science, Computer Science, Actuarial Science, Mathematics, Statistics or related field, or the equivalent education and/or experience.