2026-7905 Data Scientist-Mid (Midshift)

Company Description

AGSI was incorporated in April 2016. We are committed to supporting the goals of Arch divisions through exceptional service delivery. We pride ourselves on maintaining flexibility and responsiveness to adapt to business unit and industry demands while focusing on sound project management. We are dedicated to growing and developing our employees as we build strong teams with strategic leadership.

Job Description

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.

Responsibilities

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

Qualifications

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

Additional Information

• BS in Mathematics, Statistics, Actuarial Science, Data Analytics, Computer Science, or equivalent
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