Data Scientist

Work type:hybrid 2 days onsite 3 days remote

• Track record of delivering signi?cant business value from small or non-standard data sets.
• Proven hands-on experience developing generalized linear models in a commercial lines setting including loss ratio, frequency/severity, pure premium, claims modeling.
• Familiarity with a variety of other advanced analytics techniques is preferable, for example: logistic regression, decision trees, clustering, text mining, random forests, survival analysis, etc.
• Excellent R and SQL skills required.
• Text Analytics and Python development skills are a plus.
• Knowledge of visualization tools such as PowerBI is a plus
• Experience with cloud based software such as Databricks, Snowflake, Azure is a plus