AI Data Scientist — Banking Solutions & ML Apps

Union Bank of the Philippines; Pasig; Hybrid; PHP 900,000 - 1,500,000; Full time

Job summary

Union Bank of the Philippines is seeking a Data Scientist (AI Solutions) to identify business challenges and develop data-driven AI solutions. The role focuses on data exploration, feature engineering and ML modeling to improve revenue, reduce costs and manage risk.

You will work with stakeholders, define KPIs, document data sources and deploy end-to-end models, including monitoring live deployments and governance aspects. A banking analytics background and Python experience are preferred.

Qualifications

• Bachelor's Degree in Statistics, Physics or Applied Physics.
• At least 2 years of experience in Data Science or Analytics.
• Preferably background in the Banking Industry.
• Experience in AI/ML and Analytics for Corporate Banking/ Institutional Banking.
• Experience in Python Programming Language.

Responsibilities

• Partner with stakeholders to define business problems and develop data-driven recommendations.
• Prioritize, scope and manage data science projects and KPIs for success.
• Understand data sources, processes, and documentation.
• Apply statistical analysis and visualization to hypotheses about business processes.
• Develop and implement AI solutions leveraging big data and ML tools across the organization.

Skills

Python programming

Machine Learning

Data analysis

Statistical analysis

Data visualization

Power BI

TensorFlow

Keras

ML Ops

Education

BS Statistics

BS Physics

BS Applied Physics

Tools

R

Python

Power BI

TensorFlow

Keras

Job description

Union Bank of the Philippines is seeking a Data Scientist (AI Solutions) to identify business challenges and develop data-driven AI solutions. The role focuses on data exploration, feature engineering and ML modeling to improve revenue, reduce costs and manage risk.

You will work with stakeholders, define KPIs, document data sources and deploy end-to-end models, including monitoring live deployments and governance aspects. A banking analytics background and Python experience are preferred.