Sr Data Scientist Analyst

Zurich Insurance Group•Anoka, MN

5d•Hybrid

About The Position

RCIS (a division of Zurich North America) is currently hiring a Sr Data Scientist Analyst. This role will work in a hybrid schedule from Schaumburg, IL or Anoka, MN OR remote for the right person. Some of the key accountabilities of this role include: Building and/or enhancing models for crop insurance business, Identify and integrate external data sources needed for predictive analytics, Analyzing and reporting on crop products requiring modeling with respect to RMA pricing, yield, and performance expectations, Refreshing profitability models at the county and crop level to determine our strategic appetite, Monitor and streamline premium estimation models, Leading the maintenance and enhancements of fund designation models, Scenario modeling on various RMA products to determine impact on profitability, Manage Review Project – looking at historical data and state mix, county plan level, and industry data, Participation in NCIS organization committees and new RMA product development and reviews.

Requirements

Bachelors Degree in Computer Science or Engineering or Mathematics/Statistics or Technology
8 or more years of experience in the Predictive Analytics area
Experience applying data transformation techniques such as exact and probabilistic matching methods; fuzzy matching, text mining, and data reduction
Experience with programming and database mining tools such as Hadoop, Hive, Pig, Java, SQL, and Python

Nice To Haves

Possesses strong crop insurance knowledge and technical expertise
Understanding how MPCI (multi-peril crop insurance) products work and how they are priced
Experience with extracting data from relational databases
Advanced knowledge of statistical techniques and their application to business decisions
Ability to develop actionable solutions to business challenges
Advanced analytical and problem-solving skills
Strong verbal and communication skills

Responsibilities

Building and/or enhancing models for crop insurance business
Identify and integrate external data sources needed for predictive analytics
Analyzing and reporting on crop products requiring modeling with respect to RMA pricing, yield, and performance expectations
Refreshing profitability models at the county and crop level to determine our strategic appetite
Monitor and streamline premium estimation models
Leading the maintenance and enhancements of fund designation models
Scenario modeling on various RMA products to determine impact on profitability
Manage Review Project – looking at historical data and state mix, county plan level, and industry data
Participation in NCIS organization committees and new RMA product development and reviews