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Tier-1 brand, metro location, and popular data science manager role increase applicant competition.
Requires specific payments and card industry experience, reducing cross-industry transferability.
Mandatory 8+ years, postgraduate degree, payments domain experience and strong technical requirements create strict filters.
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Manage end-to-end data science project lifecycle with large GCC clients including sales, execution, and post-implementation support.
Develop advanced analytics and model-based solutions addressing payments and risk challenges across Visa’s client portfolio.
Lead and develop data science teams, implement scalable innovations, and ensure compliance with risk and privacy standards.
8+ years of experience in machine learning model development and production for business problems.
Post-graduate degree (Masters or PhD) in quantitative fields like Statistics, Data Science, Computer Science, Economics, or Engineering.
Experience in payments, retail banking, or merchant industries with solid understanding of payments and banking including card products.
Strong programming skills in languages such as Python, Spark, R, Scala, Java, C++; expertise in big data platforms (Hadoop, Elasticsearch) and data pipeline tools (NiFi, Sqoop).
Experienced leader with proven ability in managing complex, multi-stakeholder data science projects in payments or financial services sectors across GCC region.
Strong technical expertise to develop advanced AI/data science solutions including familiarity with large language models, API/micro-service architecture, and diverse modeling techniques.
Demonstrated ability to drive innovation, scalability, and compliance within regulated environments while mentoring and growing technical teams.