Job Description
Roles & Responsibilities
Build predictive models for customer targeting, spend growth, retention, and churn reduction.
Develop customer segmentations to support lifecycle marketing, campaign strategy, and personalization.
Analyze campaign performance across segments, products, channels, and behaviors.
Design test-and-learn frameworks including control groups and post-campaign reviews.
Partner with client stakeholders to ensure outputs are practical, explainable, and business-ready.
Desired Candidate Profile
7–8 years of experience in data science / advanced analytics / consulting.
Strong background in banking analytics, especially credit & debit cards.
Expertise in marketing analytics, predictive modeling, segmentation, campaign analytics.
Proficiency in Python, SAS, SQL with large banking datasets.
Solid knowledge of statistical modeling, ML, model validation, performance tracking.
Strong communication skills for senior-level presentations & reports.
Consulting discipline: structured problem-solving, ownership, timely delivery.
Comfortable working as a contractor in Egypt