Senior Data Scientist - Banking Analytics & AI

Gotyme Ph; Philippines; On-site; PHP 900,000 - 1,300,000; Full time

Job summary

GoTyme is seeking a Data Science Senior Analyst to turn insights into action across the bank’s value chain, including deposits, lending, and investments. The role involves applying SQL, Python, and advanced analytics to leverage diverse data sources, drive data-driven strategies, and optimize marketing, risk, and fraud initiatives.

Ideal candidates bring 3–7 years of data science experience, with strong modeling, testing, and data visualization skills, and the ability to collaborate with

Qualifications

• Bachelor’s degree or higher in applied mathematics, statistics, computer science, physics, data science, economics, engineering or equivalent quantitative discipline.
• 3 to 7 years of related work experience is required.
• Experience with data science techniques and ML models in e-commerce or banking context; familiarity with common algorithms.

Responsibilities

• Analyze large datasets to identify patterns, trends, and anomalies across bank services.
• Provide actionable insights and recommendations based on data analysis.
• Set up and execute test-and-learn programs to optimize marketing, acquisitions, and fraud strategies.
• Identify and onboard new data sources for strategy development.
• Monitor performance of programs and maintain model accuracy and effectiveness.
• Develop, maintain, and monitor learning agendas for marketing, credit, and fraud strategies.
• Design and maintain internal predictive models and oversee external models.
• Collaborate with customers, partners, and stakeholders to drive positive outcomes.
• Stay updated with the latest data science developments and experiment with new tools and methods.

Skills

SQL

Python

R

Statistics

Machine Learning

Education

Bachelor's degree or higher in quantitative field

Tools

Databricks

PowerBI

Tableau

SAS

Job description

GoTyme is seeking a Data Science Senior Analyst to turn insights into action across the bank’s value chain, including deposits, lending, and investments. The role involves applying SQL, Python, and advanced analytics to leverage diverse data sources, drive data-driven strategies, and optimize marketing, risk, and fraud initiatives.

Ideal candidates bring 3–7 years of data science experience, with strong modeling, testing, and data visualization skills, and the ability to collaborate with