Senior Data Scientist, Banking Analytics & ML Strategy

Gotyme Ph; Philippines; On-site; PHP 1,000,000 - 1,700,000; Full time

Job summary

GoTyme is seeking a Data Science Senior Analyst in Quezon City, Philippines to turn insights into action across deposits, savings, lending, and investments. You will source diverse data, build models, and apply ML techniques to drive marketing, credit, and fraud analytics.

You will work with SQL, Python, R, and visualization tools to deliver data-driven recommendations, test-and-learn programs, and scalable solutions across the bank’s value chain.

Qualifications

• Bachelor’s degree or higher in applied mathematics, statistics, CS, physics, data science, economics, engineering or equivalent quantitative discipline.
• 3 to 7 years of related work experience.
• Experience in marketing analytics, credit risk or data science in banking/e-commerce.
• Experience applying data science techniques and ML models.
• Proficient in SQL, R, SAS, Python for large datasets.
• Ability to design and evaluate tests (A/B, DoE).
• Strong visualization storytelling with tools like Databricks, PowerBI or Tableau.

Responsibilities

• Analyze large datasets to identify patterns, trends, and anomalies across bank services.
• Provide actionable insights and recommendations from data analyses.
• Set up test-and-learn programs to optimize marketing, acquisitions, and fraud strategies.
• Onboard new data sources to support strategy development.
• Collaborate with stakeholders to drive positive business outcomes.

Skills

Analytical skills

Communication

Collaboration

Adaptability

Attention to detail

Problem solving

Education

Bachelor’s degree or higher in quantitative field

Tools

SQL

Python

R

SAS

Databricks

PowerBI

Tableau

Job description

GoTyme is seeking a Data Science Senior Analyst in Quezon City, Philippines to turn insights into action across deposits, savings, lending, and investments. You will source diverse data, build models, and apply ML techniques to drive marketing, credit, and fraud analytics.

You will work with SQL, Python, R, and visualization tools to deliver data-driven recommendations, test-and-learn programs, and scalable solutions across the bank’s value chain.