Data Scientist

2 days ago

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Logo of Arch Global Services (Philippines) Inc.

Arch Global Services (Philippines) Inc.

Provides IT • Finance and Actuary support for Insurance • Reinusrance and Mortgage Insurance clients

1001 - 5000

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 supporting Claim. • 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

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