Senior Data Science Consultant – Cards Marketing Analytics
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Key skills for this role
About the Role
The role involves building predictive models and analyzing marketing strategies for credit and debit cards, requiring expertise in analytics and banking.
Key Skills for This Role
Responsibilities
- Build predictive models to identify customer targeting opportunities, enhance spend growth, improve retention, and reduce churn.
- Develop customer segmentations for credit and debit card portfolios to support lifecycle marketing, campaign strategy, and personalization.
- Analyze campaign performance across segments, products, channels, and customer behaviors, delivering actionable insights.
- Design test and learn frameworks, including control groups, campaign measurement logic, and post campaign performance reviews.
- Collaborate with client teams to ensure analytical outputs are practical, explainable, and ready for business adoption.
Requirements
- Extensive experience in banking analytics, particularly in cards marketing
- Experience building predictive models for customer targeting, spend growth, retention, and churn reduction
- Experience developing customer segmentations for credit and debit card portfolios
- Ability to analyze campaign performance and deliver actionable insights
- Experience designing test and learn frameworks
Full Job Posting
Overview
- We are seeking a Senior Data Science Consultant – Cards Marketing Analytics to join our client team in Jeddah, Saudi Arabia.
- This role involves leveraging advanced analytics and predictive modeling to drive marketing strategies for credit and debit card portfolios.
- The ideal candidate will have extensive experience in banking analytics, particularly in cards marketing, and will play a pivotal role in delivering actionable insights to client teams.
Responsibilities
- Build predictive models to identify customer targeting opportunities, enhance spend growth, improve retention, and reduce churn.
- Develop customer segmentations for credit and debit card portfolios to support lifecycle marketing, campaign strategy, and personalization.
- Analyze campaign performance across segments, products, channels, and customer behaviors, delivering actionable insights.
- Design test and learn frameworks, including control groups, campaign measurement logic, and post campaign performance reviews.
- Collaborate with client teams to ensure analytical outputs are practical, explainable, and ready for business adoption.
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