BIU:Data Science Lead-Personalization COE

BIU:Data Science Lead-Personalization COE INTERNAL USAGE: No. of Vacancies: Reports to: Is a Team leader? Team Size: 8-10 Grade: Business: BIU Department: � BIU Sub - Department: BIU Location: Mumbai/Bangalore About BIU Axis Bank�s (Business Intelligence Unit): This is a high profile team with a mandate to drive data based decisions within the bank. Reporting in to Head Banking Operations and Transformation, this department works with all businesses of the bank including retail, small business and corporate to drive analytics. In terms of functions, the department has teams focused on all aspects of analytics for the bank including risk analytics, financial analytics, crime analytics, business and marketing analytics, building predictive scores, data engineering, business reporting and data governance roles. About the Role We are hiring a seasoned marketing/campaign analytics leader, responsible for scaling personalization to next level - implement personalization for 100% retail campaigns. Constant improvisation by flagging what is not working well, create and implement plan to change creatives/motivations of the nudges for better conversion. Key Responsibilities Create best-in-class recommendation framework using advance AI/ML to recommend communications for customers in an automated manner Enrich customer and product metrics by bringing in rich alternate inform to improve the recommendations Co-own the business targets in terms of conversion via personalized campaigns Employee MLOps concepts to continuously improve the recommendations from the engine Active participation in PoDs - liaise with business, analytics, data engineering, marketing & campaign management teams to meet timelines The role also includes team management - manage a team of 4-6 team members, guide and oversee the delivery of the nudges. Role Proficiencies: - 7 – 10 years of experience in the field of AL / ML, experience in recommendation engines is a plus. - MBA or Master's degree in Economics, Statistics, Engineer - Comp Science etc. - Code review and challenge with test cases experience- Python, PySpark or SparkSQL - Related years work experience in the BFSI domain, Telcos, e-commerce - Strong analytical acumen and willingness to learn - Experience in campaign design / Martech tools (UNICA, Adobe target) etc preferred - Excellent written/ verbal communication, analytical, and presentation skills Refer to the Job Description