Data Scientist (For Pooling)

UnionBank of the Philippines; Pasig; On-site; PHP 446,400 - 892,800; Full time

Job summary

UnionBank of the Philippines is seeking a Data Scientist to tackle business challenges by developing AI solutions. This role entails applying data science principles to improve business processes and uncover growth opportunities.

The successful candidate will engage in data exploration, feature engineering, and machine learning modeling, contributing to operational excellence and transformation initiatives.

Responsibilities

• Partner with stakeholders to define business problems and opportunities.
• Prioritize and manage data science projects and KPIs.
• Understand and document existing data sources and process pipelines.
• Apply statistical analysis and visualization methods.
• Develop AI solutions leveraging big data and analytics tools.
• Integrate domain knowledge into Machine Learning solutions.
• Establish best practices in ML Operationalization.
• Promote collaboration with data science teams.
• Present solutions and proposals to stakeholders.

Skills

Accountability

Adaptability

Analytical

Good Communication Skills

Critical thinking

Teamwork

Willingness to learn

Tools

R

Python

Power BI

TensorFlow

Keras

Job description

Company: Union Bank of the Philippines

Position: Data Scientist

Office Location: UnionBank Plaza - Ortigas, Pasig City

Job Summary: 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.

Duties And Responsibilities

• 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.

Required Skills

Accountability, Adaptability, Analytical, Good Communication Skills, Critical thinking, Teamwork, Willingness to learn