HO - Data Science Expert

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Data Science Expert is responsible for developing advanced analytics, machine learning models, and AI solutions to support strategic and operational objectives across the bank. This role leverages large-scale banking data to enhance customer experience, optimize risk management, improve fraud prevention, strengthen regulatory compliance, and drive data-driven business growth.
Responsibilities:
Advanced Analytics & Data Science
• Analyze large and complex datasets from core banking systems, digital channels, CRM, and external sources.
• Develop predictive and prescriptive models to support business decision-making.
• Generate actionable insights to improve customer acquisition, retention, and profitability.
• Design and monitor performance metrics for banking products and services.
Customer & Marketing Analytics
• Develop customer segmentation, churn prediction, and cross-sell/up-sell models.
• Analyze customer behavior across digital and traditional banking channels.
• Support personalized marketing campaigns through advanced analytics.
• Improve customer lifetime value and engagement strategies.
AI & Digital Banking Innovation
• Leverage AI, machine learning, and Generative AI technologies to improve banking processes.
• Design recommendation engines and intelligent decision-support systems.
• Participate in digital transformation and analytics innovation projects.
• Evaluate emerging technologies and data science methodologies.
Regulatory Compliance & Model Governance
• Ensure compliance with Basel regulations, IFRS 9, AML requirements, and internal model governance standards.
• Maintain documentation for model development, validation, and audit reviews.
• Support regulatory reporting and model risk management activities.