2026-7853 Data Scientist-Mid (Midshift) at Arch Global Services (Philippines) Inc.

Taguig, Metro Manila, Philippines -

Full Time

Start Date

Immediate

Expiry Date

20 May, 26

Salary

0.0

Posted On

19 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL Server, Data Extraction, Data Enrichment, Data Anomalies Investigation, Pattern Detection, Data Labeling, Data Validation, Data Flows, Predictive Models, Analytic Solutions, Natural Language Processing, OCR, Generative AI, IDP Software Solutions, Technical Documentation

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 Strategic Analytics is a growing team at Arch that has established itself as a driving force in the success of the business. We focus on implementing real-time analytic solutions that improve profitability and growth. To broaden our impact, we have expanded our focus to deliver business-driven intelligent data automation capabilities that combine data from external vendors with intelligent document processing (IDP) technologies. This includes working with artificial intelligence/machine learning, NLP, OCR, generative AI, and algorithmic-based solutions. As a key member of the Strategic Analytics team, you will support the solution definition, build and implementation of IDP/AI opportunities across operations, claims, finance, and underwriting teams. You will apply the right mix of technologies across the underwriting and claims functions Responsibilities: Deliver automated document extraction and data enrichment solutions. Manipulate data using Python or SQL Server; develop ad hoc queries to investigate data anomalies and to summarize data for pattern detection. Manually label and validate small training data sets. Develop round-trip data flows that prepare data for IDP and format the results for analytical purposes Collaborate with experienced modelers to build predictive models and analytic solutions using Python; apply techniques such as decision trees and clustering. Under supervision use AI technologies such as natural language processing to extract business data from unstructured and semi-structured sources (e.g., loss history reports, insurance applications, claim files, application scraping using OCR/ generative AI, etc.). Create technical documentation to archive end-to-end processes. Qualifications Exposed in manipulating, processing and extracting value from datasets Exposure to data analysis, software development, engineering or equivalent Detail oriented with strong organizational skills Strong critical thinking skills in order to tackle complex data challenges Comfortable working in a fast paced and highly collaborative global team Experience configuring & establishing automations utilizing IDP software solutions is a huge plus The ideal candidate will have experience working in the insurance industry Experience with OCR, NLP, and/or image analytics is a plus Experience with cloud technologies and is a plus Additional Information BS in Computer Science, Information Technology degree, Data Analytics or equivalent

Responsibilities

The role involves delivering automated document extraction and data enrichment solutions, manipulating data using Python or SQL Server, and developing round-trip data flows to prepare data for Intelligent Document Processing (IDP). The individual will also collaborate on building predictive models and applying AI technologies like NLP to extract business data from unstructured sources.