Experience 8+ Years Industry Fintech / Card Payments / Retail Banking We are seeking an experienced Sr. Data Scientist with strong expertise in Card Payments / Retail Banking, Machine Learning, and end-to-end analytics project delivery. The candidate will drive analytics-driven strategies, develop scalable machine learning solutions, and deliver actionable business insights for banking and payments clients. Key Responsibilities • Lead and deliver end-to-end data science and analytics projects. • Develop and implement machine learning models for banking and payment analytics. • Drive credit card portfolio strategies using customer, transaction, and third-party data. • Perform data cleaning, wrangling, feature engineering, feature selection, and predictive modelling. • Define project scope, analytical methodologies, and solution frameworks. • Translate complex analytical findings into actionable business recommendations. • Collaborate with business stakeholders and clients to identify analytics opportunities. • Explore new data sources, advanced modelling techniques, and innovative analytical solutions. • Present insights through effective data storytelling and business presentations. Mandatory Skills • Domain Experience: Hands-on experience in Credit Cards, Card Payments, or Retail Banking. • Machine Learning: Linear Regression, Logistic Regression, Decision Trees, Random Forest and predictive modelling. • Programming: Strong hands-on experience in Python and SQL. • Big Data / Analytics: Experience with PySpark, Hadoop, Hive, or similar technologies. • End-to-End Data Science: Data preparation, feature engineering, model development, validation, deployment and scaling. • Business Analytics: Experience developing analytical strategies and delivering measurable business outcomes. • Communication: Strong presentation, stakeholder management and data storytelling skills. Preferred Skills • Credit card portfolio analytics and customer behaviour analysis. • Payment transaction analytics and financial services data. • Tableau, MS Excel and PowerPoint. • Experience handling multiple client-facing analytics projects.