2026-7979 Data Scientist-Mid (Midshift) at Arch Global Services (Philippines) Inc.

Taguig, Metro Manila, Philippines -

Full Time

Start Date

Immediate

Expiry Date

13 Sep, 26

Salary

0.0

Posted On

15 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Predictive Modeling, Python, R, SQL Server, GLM, GAM, Decision Trees, Power BI, Data Manipulation, Data Analysis, Critical Thinking, Technical Communication

Industry

Outsourcing and Offshoring Consulting

Description

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

Responsibilities

Develop innovative predictive models and analytical tools to improve profitability and operational efficiency. Collaborate with modelers to build solutions using Python or R and create Power BI dashboards to support analysis.