Responsible for designing data pipelines and building analytical models that transform banking data into actionable customer insights. Combines data engineering and data science expertise to support personalized experiences, improve decision-making, and drive business growth across Retail Banking.

Responsibilities :

- Build and maintain data pipelines integrating core banking, digital, and CRM data.

- Develop predictive churn models, cross-sell, and calculate lifetime value.

- Conduct customer segmentation and behavioral analysis to support marketing and product strategies.

- Design dashboards and reports for business stakeholders.

- Ensure data quality, integrity, and compliance with SAMA and PDPL standards.

- Collaborate across teams to embed insights into decision-making and digital journeys.

Requirements :

- Bachelor's/Master's in Data Science, Computer Science, or Engineering.

- 5-10 years' experience in data engineering and analytics (banking preferred).

- Proficient in Python, SQL, Spark, Power BI/Tableau, and cloud data platforms (Azure/AWS).

- Strong understanding of machine learning, customer analytics, and data governance.