Data Science Lead, Customer Analytics
Core
Lead end-to-end analytics agenda for the Core Consumer Banking customer pillar, translating executive questions into structured plans and decision-ready narratives to influence business strategy.
Role type
Senior IC data science lead (customer analytics)
Builds
Analytics roadmap, measurement strategies, and executive presentations for growth, engagement, retention, and pricing strategies.
Domain
Consumer banking / Customer analytics
Required skills
statistical analysis, experimental design, A/B testing, machine learning, SQL, Python, R, roadmap definition, stakeholder management, executive communication, visualization, mentoring
Preferred skills
financial services experience, consumer banking, simulation, optimization, advanced machine learning techniques
Technologies
Python, SQL, Machine Learning
Responsibilities
Own the analytics roadmap for the Core Consumer Banking customer pillar; serve as primary analytics partner to business, product, marketing, finance, and technology leaders; translate ambiguous executive questions into structured analytical plans and clear recommendations; lead analyses and experiments across growth, engagement, retention, migration, pricing, and segment strategy; define measurement strategies including test design and success metrics; develop executive-ready presentations to influence business strategy and resource allocation; mentor team members and set analytical standards for methodology and data quality.
