Data Scientist - Mid
At a glance
Mid-level Data Science role at Arch Capital Group Ltd. PHL-Manila · full-time.
Pay not stated Data Scientist salary
dataroles summary, based on the employer's posting.
What you'll do
- Use Python and SQL Server to examine data, investigate anomalies and spot patterns in business information
- Label and check training examples, then use AI methods under guidance to extract information from documents
- Turn extraction results into structured data and help build automated document enrichment workflows
- Work with business teams and engineers to shape problems into technical solutions, documenting processes as you go
- Assess solution quality with measures such as precision and recall, and monitor performance after launch
What you bring
- You have worked with datasets to process them and draw useful information from them
- You bring experience in Python, SQL and Git, plus exposure to data science, software development, engineering or a comparable area
- You hold a quantitative bachelor's degree or bring substantial experience in data analytics
Who this fits
This mid-level role suits someone who enjoys detailed data work, can explain statistical and business implications, and raises issues early. You'll work collaboratively with business stakeholders, engineers and data scientists on claims-focused document and AI solutions. The role is based in the Philippines.
From the employer
With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility℠.
Strategic Analytics is a growing team at Arch focused on delivering data-driven solutions that improve business performance. We develop intelligent data automation capabilities that combine external data with Intelligent Document Processing (IDP) and AI/ML technologies to extract and structure information from unstructured sources.
In this role, you will support the design and implementation of IDP and AI solutions across claims. This includes preparing data for document processing, transforming outputs into structured datasets, and contributing to automated document extraction and data enrichment workflows.
You will collaborate with business stakeholders, engineers, and data scientists to translate business problems into technical solutions.
Job Tasks/Responsibilities
Collaborate with business customers and engineers to translate business problems into technical solutions and deliver automated document extraction and data enrichment solutions.
Manipulate data using Python and SQL Server; develop ad hoc queries to investigate data anomalies and to summarize data for pattern detection.
Manually label and validate training datasets.
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.
Implement evaluation frameworks using precision, recall, F1 scores, accuracy, and operational metrics
Build solutions to monitor and continuously evaluate performance of implemented solutions.
Collaborate with experienced modelers to build predictive models and analytic solutions; apply machine learning techniques such as decision trees and clustering.
Required Skills/Experience
Experience in manipulating, processing and extracting value from datasets
Exposure to data science, software development, engineering or equivalent
Detail-oriented with strong organizational skills
Strong critical thinking skills to tackle complex data challenges
Strong communication skills that convey statistical and business impact, proactively surface issues
Comfortable working in a fast-paced and highly collaborative global team
Experience in Python, SQL, and Git
Preferred Skills/Experience
Experience with evaluation frameworks, experimental design
Experience with OCR, NLP, and/or image analytics
Experience with cloud technologies and implementing data science/AI solutions.
Experience configuring & establishing automations utilizing IDP software solutions
The ideal candidate will have experience working in the insurance industry
Education
Bachelor’s degree in data science, analytics, statistics, actuarial science, mathematics, engineering or similar quantitative fields; or significant experience in data analytics
Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you. If this job isn’t the right fit but you’re interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch’s Talent Acquisition team.
10400 Arch Global Services (Philippines) Inc.
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