Back
Tier-1 bank, metro location, popular ML/data role, and common required skills increase candidate competition.
Core ML and analytics skills transfer across industries, but credit-card and marketing domain knowledge increase specificity.
Mandatory Python, SQL and ML skills plus domain knowledge make filtering moderately strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Analyze complex data sets to deliver insights that influence business decisions in digital marketing, product sales, and customer engagement.
Lead the optimization of digital servicing channels by identifying friction points and improving customer digital experiences using advanced analytics and AI.
Drive experimentation and testing initiatives (A/B, multivariate) to enhance digital features and marketing strategies, improving efficiency and effectiveness.
Mandatory hands-on experience with Python, SQL, and Machine Learning techniques; PySpark experience preferred.
Familiarity with digital marketing and credit card business practices is highly beneficial but not mandatory.
Demonstrated ability to work independently on complex data analysis and collaborate across multiple stakeholders.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in handling large and complex datasets with advanced statistical and machine learning methods to generate actionable business insights.
Comfortable working in cross-functional environments with ability to mentor junior team members and build partnerships.
Skilled at leveraging AI-driven analytics and digital marketing domain knowledge to optimize digital customer journeys and reduce cost-to-serve.