2026-7905 Data Scientist-Mid (Midshift)
This mid-level data scientist role focuses on developing predictive models and analytical tools to enhance business profitability and operational efficiency, collaborating closely with experienced modelers to refine advanced analytics solutions for high-profile projects. The position emphasizes hands-on implementation, documentation, and automation of recurring tasks using Python, R, and SQL Server.
Skills required
About this role
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
