Sr Crop Data Scientist Analyst

Zurich Insurance; Anoka (MN); Hybrid; USD 130,000 - 217,000; Full time

Benefits offered by this job

Hybrid work schedule

Competitive total rewards

Job summary

RCIS (a division of Zurich North America) is hiring a Senior Data Scientist Analyst. The role reports to the Head of Underwriting, Crop Analytics and offers a hybrid schedule from Schaumburg, IL or Anoka, MN or remote for the right candidate.

Key duties include building and refining predictive models for crop insurance, integrating external data sources, and analyzing profitability models at county and crop levels to guide strategy.

Qualifications

• Bachelors Degree in Computer Science or Engineering or Mathematics/Statistics or Technology and 8+ years of experience in Predictive Analytics.

Responsibilities

• Build and enhance models for crop insurance business.

Skills

Predictive Analytics

Data Transformation

Fuzzy Matching

Text Mining

Python

SQL

Java

Hadoop

Hive

Pig

Education

Bachelor's degree in Computer Science/Engineering/Math/Statistics or Technology

Tools

Hadoop

Hive

Pig

Java

SQL

Python

Job description

RCIS (a division of Zurich North America) is currently hiring a Sr Data Scientist Analyst, and this person will report to the Head of Underwriting, Crop Analytics. 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
• 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

Basic Qualifications:

• Bachelors Degree in Computer Science or Engineering or Mathematics/Statistics or Technology and 8 or more years of experience in the Predictive Analytics area AND
• 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

Preferred Qualifications:

• 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 skillsStrong verbal and communication skills

Your pay at Zurich is based on your role, location, skills, and experience. We follow local laws to ensure fair compensation. You may also be eligible for bonuses and merit increases. If your expectations are above the listed range, we still encourage you to apply—your unique background matters to us.

The proposed salary rangefor this position is $132,500 - $217,000, with short-term incentive bonus eligibility set at 20%.

We offer competitive pay and comprehensive benefits for employees and their families. [Learn more about Total Rewards here .]

At Zurich, we value your ideas and experience. We offer growth, inclusion, and a supportive environment—so you can help shape the future of insurance. Zurich North America is a leader in risk management, with over 150 years of expertise and coverage across 25+ industries, including 90% of the Fortune 500.

Join us for a brighter future—for yourself and our customers.

Zurich in North America does not discriminate based on race, ethnicity, color, religion, national origin, sex, gender expression, gender identity, genetic information, age, disability, protected veteran status, marital status, sexual orientation, pregnancy or other characteristics protected by applicable law. Equal Opportunity Employer disability/vets.

Zurich complies with 18 U.S. Code § 1033.

Location(s): AM - Anoka, AM - Remote Work (US)

Remote Working: Hybrid

Schedule: Full Time

Employment Sponsorship Offered:No