Data Scientist

ROLE OVERVIEW

We are seeking an experienced Data Scientist with 8+ years of expertise in banking analytics, specifically within Credit Cards and Cards Portfolio Management.

The role focuses on leveraging advanced analytics, machine learning, and predictive modeling techniques to drive data-driven decisions, optimize portfolio performance, enhance customer acquisition and retention strategies, and improve overall profitability of the bank's credit card business.

Required Skills & Qualifications:

• Banking Data Science Experience: 8+ years of experience in banking analytics, specifically within Credit Cards and Cards Portfolio Management.
• Model Development & Validation: Strong hands-on experience building, monitoring, validating, and optimizing predictive models, with a focus on model performance evaluation.
• Advanced Analytics & Machine Learning: Experience with predictive modelling, supervised learning, unsupervised learning, customer segmentation, clustering, and cards profitability analysis.
• Technical Skills: Strong proficiency in SQL, Python, and SAS for data analysis, model development, automation, and reporting.
• Business & Portfolio Analytics: Ability to translate analytical insights into business outcomes, supporting portfolio growth, customer acquisition, retention strategies, spend optimization, and profitability improvement across credit card portfolios.