Data Scientist

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

2 - 5 Years

Employee

Job Description

Data Scientist (AI Solutions)

About the Role

The Data Scientist participates in the identification of business challenges and opportunities by developing AI solutions for the group supported. The role involves applying data science principles in solving a range of business problems. This includes problem analysis and management to identify growth and improvement opportunities through data. Key responsibilities include data exploration, feature engineering, and machine learning modeling. The role participates in achieving Operational Excellence, Customer Intimacy, New Business & Workplace Transformation for the Groups supported. These will be through Solutions that use data to uncover patterns for Increasing Revenue, Reducing Cost, Managing Risk & Compliance.

What You'll Do

• Partner with stakeholders in defining the business problems, identifying challenges, discovering opportunities, developing and implementing recommendations from data driven solutions and insights.
• Prioritize, scope and manage data science project and the corresponding key performance indicators (KPIs) for success
• Understand new and existing data sources and process pipelines and catalog/documenting them.
• Apply statistical analysis and visualization methods and generate hypotheses about underlying mechanics of business processes.
• Develop and implement AI solutions leveraging big data (e.g., comprehensive internal and alternative data sources) and advanced analytic tools and techniques (e.g., R, Python, Power BI, Tensor flow, Keras, etc.) across the organization that will contribute to revenue, cost/loss reduction, risk treatment, and compliance.
• Apply various Machine Learning and advanced analytics techniques while integrating domain knowledge into the Machine Learning solution.
• Establish best practices around ML Operationalization or MLDLC
• Promote collaboration with other data science teams within the organization and encourage reuse of artifacts
• Present to stakeholders possible opportunities, recommended solutions and impact to the business, and implementation proposals.
• Creation of New Models , Analytics, Gen AI: End-to-end from Ideation, Development, Presentation to Stakeholders, Documentation, Governance Approvals, to Automated Deployment/Operationalization and Performance Monitoring
• Continuous Oversight and Monitoring of Live/Deployed Models: Regular review of model performance and corresponding action required (e.g., more stringent monitoring, analysis, retirement, retraining. redevelopment, etc.)

What We're Looking For

Bachelor's Degree in BS Statistics, BS Physics or BS Applied Physics

• At least 2 years of experience in Data Science or Analytics
• Preferably has background in the Banking Industry
• Has e xperience in AI/Machine Learning and Analytics for Corporate Banking/ Institutional Banking
• Experience in Python Programming Language