Data Engineer/Data Scientist

Summary: The Data Engineer/Data Scientist role is a remote position requiring extensive experience in data science and engineering, particularly in model development. The candidate will be responsible for designing and automating predictive models, conducting risk assessments, and collaborating with teams to enhance data quality. Proficiency in Python, SQL, and Snowflake is essential, along with hands-on experience in machine learning and risk modeling. Additional experience in Property & Casualty and computer vision is highly valued.

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.

Key Skills:

• 5+ years as a Data Scientist with strong data engineering and model development background.
• Proficiency in Python.
• Proficiency in SQL (MySQL, PostgreSQL, Apache Hive, BigQuery).
• Proficiency in Snowflake.
• Hands-on experience with Machine Learning (Cisco Modeling preferred).
• Experience in Model Development & Automation.
• Experience in Risk Modeling.
• Experience in Geo-Spatial Modeling.
• Experience in Fraud Models or Indicators.
• Property & Casualty (P&C) experience is a big plus.
• Experience with Guidewire is a big plus.
• Computer Vision (CV) is a big plus.

Salary (Rate): undetermined

City: undetermined

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT