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    Jex Recruitment | Connecting top talent with leading companies

    Senior Data Scientist

    Jex Recruitment | Connecting top talent with leading companies
    Abu Dhabi Emirate, United Arab Emirates Full-timePosted 26 Jun 2026
    Banking and Investment Banking

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    Job Description

    Senior Data Scientist – Corporate BankingWe are working with a leading financial institution that is looking to hire a Senior Data Scientist to join its growing Data & AI function. This role requires a combination of advanced data science expertise and deep Corporate Banking domain knowledge. Candidates must have experience working within Corporate Banking, Corporate & Investment Banking (CIB), Commercial Banking, CIBG, or CCIB environments.Key RequirementsMinimum 7 years of experience in Data Science, with proven expertise in:Artificial Intelligence (AI) and Machine Learning (ML)Statistical Modelling and Predictive AnalyticsGenerative AI and Machine Learning Operations (MLOps)Cloud-based data science and model deploymentsStrong understanding of banking processes, operations, products, and industry terminology.Experience working with Corporate Banking products such as: Treasury,Trade Finance and Foreign Exchange (FX)Corporate Cash ManagementProven track record of delivering scalable, production-grade AI and analytics solutions within regulated, data-driven environments.Experience leading cross-functional teams, agile squads, and complex transformation initiatives.Key ResponsibilitiesDevelop and deploy advanced AI, machine learning, and statistical models to support business growth and operational excellence.Design and implement Generative AI solutions to enhance customer experience, operational efficiency, and decision-making.Establish and maintain MLOps frameworks to ensure reliable, scalable, and governed model deployment.Partner with business stakeholders across Corporate Banking functions to identify high value analytics opportunities.Lead agile delivery teams through the full data science lifecycle, from problem definition through to production deployment.Work closely with Data Engineering, Architecture, and Technology teams to build robust and scalable solutions.Ensure compliance with governance, risk, and regulatory requirements while maintaining best practices in model development and monitoring.

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