Dice is the leading career destination for tech experts at every stage of their careers. Our client, Naztec International Group LLC, is seeking the following. Apply via Dice today!

About The Role

We re seeking experienced Data Scientists to join a team focused on building and automating predictive models that drive risk selection, coverage optimization, and fraud detection. This work is highly technical and compliance-driven, combining data engineering, machine learning, and risk management.

Mission:

Build and maintain predictive models that determine which risks to insure and under what coverage terms.
Transition from manual processes to highly automated, scalable solutions.

Key Impact Areas:

Risk Selection: Decide which policies are acceptable and which should be declined.
Data Quality: Ensure accurate, clean, and reliable data for modeling.
Coverage Optimization: Balance coverage with profitability and compliance.

Key Responsibilities

Design, develop, and automate predictive models for risk selection, coverage optimization, and fraud detection.
Perform monthly, quarterly, and annual Model Risk & Compliance assessments.
Collaborate with cross-functional teams to improve data quality and integrate models into production.
Implement ML techniques (Cisco Modeling preferred) for model development and automation.
Monitor and maintain models for performance and accuracy.
Support future initiatives in advanced model development and geo-spatial modeling.
Extract and analyze data from Guidewire and other P&C systems for model inputs and reporting.

Required Qualifications

5+ years as a Data Scientist with strong data engineering and model development background.
Proficiency in:
Python
SQL (MySQL, PostgreSQL, Apache Hive, BigQuery)
Snowflake

Hands-on experience with: