Senior Data Scientist — Banking Analytics & ML

GoTyme Bank; Quezon City; On-site; PHP 900,000 - 1,500,000; Full time

Job summary

GoTyme is seeking a Data Science Senior Analyst to turn insights into action, leveraging data across deposits, lending, investments, and fraud analytics. You will identify, ingest, and analyze diverse data sources, build predictive models, and drive data-driven strategies across the bank's value chain.

The role requires strong programming (SQL, Python, R), ML capabilities, and collaboration with cross-functional teams to optimize marketing, risk, and customer experiences.

Qualifications

• Bachelor's degree or higher in quantitative field
• 3–7 years of related work experience
• Experience applying data science techniques in banking/e-commerce environments
• Proficient in SQL, R, Python and handling large datasets

Responsibilities

• Analyze large datasets to identify patterns, trends, and anomalies across bank services
• Develop and evaluate predictive models and strategies
• Collaborate with stakeholders to translate insights into actionable decisions
• Stay updated with latest AI/ML developments and apply them where relevant

Skills

SQL

Python

R

Machine Learning

Data Visualization

A/B Testing

Education

Bachelor's degree

Quantitative discipline

Data science certification

Tools

Databricks

PowerBI

Tableau

SAS

Job description

GoTyme is seeking a Data Science Senior Analyst to turn insights into action, leveraging data across deposits, lending, investments, and fraud analytics. You will identify, ingest, and analyze diverse data sources, build predictive models, and drive data-driven strategies across the bank's value chain.

The role requires strong programming (SQL, Python, R), ML capabilities, and collaboration with cross-functional teams to optimize marketing, risk, and customer experiences.