Data Scientist for Insurance Analytics
22 hours ago
Contribute to advanced insurance analytics on topics including utilizing telematics data for risk differentiation, as well as other insurance IoT.
Participate insurance analytics tool development projects.
Collaborate with internal and external partners to deliver innovative analytical products and insights. You will be directly involved in the development of predictive modeling and business intelligence solutions for clients such as credit lenders, insurance carriers, and other financial services institutions.
Contribute to projects involving descriptive, predictive, and prescriptive analysis leveraging a variety of techniques (such as segmentation, logistic regression, survival analysis, principal component analysis, Monte Carlo simulation, scenario and sensitivity analysis, and machine learning).
Lead small projects and/ or work streams as a part of larger projects; this may involve delegating tasks to other team members and managing the team to meet deliverables on time.
Dig in by extracting data and performing segmentation and statistical analyses on large population datasets (using languages such as R, SAS, SQL, and Python on Linux and PC computing platforms).