Data Scientist

The candidate develops innovative predictive models and analytical tools to improve profitability, growth, and operational efficiency. This position will help support predictive modeling needs across a growing portfolio of high-profile advanced analytics projects with the Strategic Analytics team. As a key member of the team you will also play a role in advancing predictive modeling capabilities, enabling Arch to make better decisions.

• Collaborate with experienced modelers to build predictive models and analytic solutions using Python or R; apply techniques such as GLM, GAM and decision trees
• Manipulate data using R or SQL Server; develop advanced ad hoc queries to investigate data anomalies and to summarize data for pattern detection
• Develop Python or R functions and SQL stored procedures to automate recurring tasks
• Create and maintain documentation associated with models
• Assist in implementation and testing of models
• Develop dashboards in Power BI to facilitate analyses that support modeling efforts or enable model usage
• Monitor the performance and usage of models

Requirements

• At least 3 years’ predictive modeling experience in a professional setting, using tools such as Python, R or SQL
• The ideal candidate will have experience working in the insurance industry
• Detail oriented with strong organizational skills
• Excellent critical thinking skills in order to tackle complex data challenges
• Comfortable working in a fast paced and highly collaborative global team
• Ability to effectively communicate technical topics to different target audiences

Technical Skills Proficiency Level Required (R) /Optional (O)

Predictive Modeling 4 R

R, Python or equivalent Stat Program 4 R

SQL Server or equivalent data mgt tool 3 R

Property & Casualty Insurance Experience 2 O

Microsoft Excel 2 R

Qlikview or Power BI 1 O