A leading financial institution in Abu Dhabi, UAE is actively seeking a highly experienced Senior Data Scientist – Corporate Banking to join its expanding Data & AI function. This is a rare, senior-level opportunity that demands the perfect combination of advanced data science expertise — spanning Artificial Intelligence, Machine Learning, Generative AI, MLOps, and statistical modelling — with deep, hands-on domain knowledge of Corporate Banking, Corporate & Investment Banking (CIB), Commercial Banking, CIBG, or CCIB environments. If you are a 7+ year data science professional with a strong banking background and a passion for deploying production-grade AI solutions that reshape how financial institutions operate, this Abu Dhabi opportunity is built for you.
About the Hiring Financial Institution
Sector Position: One of Abu Dhabi’s leading financial institutions — operating a rapidly growing Data & AI function aligned with UAE national digital transformation priorities
Banking Domain: Corporate Banking, Corporate & Investment Banking (CIB), Commercial Banking, CIBG, and CCIB environments with complex product portfolios
Data & AI Ambition: Investing heavily in Artificial Intelligence, Machine Learning, Generative AI, and MLOps capabilities to drive operational excellence and client value across Corporate Banking functions
Product Portfolio: Treasury, Trade Finance, Foreign Exchange (FX), Corporate Cash Management, and full corporate lending and advisory services
Culture: Agile, data-driven, cross-functional teams working at the intersection of advanced analytics and corporate financial services in Abu Dhabi’s world-class banking sector
Why This Senior Data Science Role in Abu Dhabi Stands Out
AI Leadership Authority: Lead Generative AI, MLOps, and production-grade ML deployments for one of Abu Dhabi’s most respected banking institutions — with direct business impact at the highest levels
UAE Banking Prestige: Abu Dhabi’s financial sector is among the fastest-growing and best-compensated data science markets in the entire GCC region in 2026
End-to-End Ownership: Drive the full data science lifecycle — from problem framing and model development to production deployment and ongoing governance and monitoring
Strategic Influence: Partner directly with Corporate Banking business stakeholders to identify and deliver high-value analytics opportunities with measurable revenue and efficiency impact
Position Overview
The Senior Data Scientist – Corporate Banking in Abu Dhabi is a high-impact, leadership-level role within a leading UAE financial institution’s Data & AI function. You will develop and deploy advanced AI, machine learning, and statistical models to support Corporate Banking growth and operational excellence, design Generative AI solutions to enhance customer experience and decision-making, establish MLOps frameworks for governed model deployment, and lead agile delivery teams through the full data science lifecycle. This role demands genuine depth in both data science methodology and Corporate Banking domain knowledge — covering Treasury, Trade Finance, FX, and Corporate Cash Management — making it one of the most sought-after data science positions in the UAE banking sector in 2026.
Why This Role Matters: As Senior Data Scientist at a leading Abu Dhabi financial institution, you are not just building models — you are reshaping how an entire Corporate Banking function thinks, operates, and competes. Every AI model you deploy, every MLOps framework you establish, and every Generative AI solution you design directly influences business outcomes for one of the UAE’s most strategically important banking operations. This is data science with genuine financial sector impact at the highest level.
Corporate Banking Domain Knowledge Required
Banking Environments: Corporate Banking | CIB | Commercial Banking | CIBG | CCIB
Banking Products: Treasury | Trade Finance | Foreign Exchange (FX) | Corporate Cash Management
Banking Operations: Deep understanding of banking processes, products, operations, and regulatory compliance in a Corporate Banking context
Banking Experience: Minimum 7+ years of banking industry experience — applicants without banking domain expertise will not be considered
Key Responsibilities
AI, ML & Generative AI Model Development
- Develop and deploy advanced Artificial Intelligence, machine learning, and statistical models that directly support Corporate Banking business growth, operational efficiency, and client value creation across the Abu Dhabi financial institution
- Design and implement innovative Generative AI solutions tailored to Corporate Banking use cases — enhancing customer experience, automating operational workflows, and improving executive decision-making quality across the institution
- Build production-grade, scalable predictive analytics models for Corporate Banking applications including credit risk, trade finance risk, FX analytics, treasury forecasting, and corporate cash flow management
MLOps Framework Establishment & Governance
- Establish, implement, and continuously maintain robust MLOps frameworks to ensure reliable, scalable, auditable, and fully governed model deployment processes across the Data & AI function
- Design and oversee cloud-based data science environments and model deployment pipelines — ensuring all AI and ML solutions are architected for scalability, reliability, and regulatory compliance from day one
- Ensure all models comply rigorously with the institution’s governance standards, risk management frameworks, and UAE financial regulatory requirements — maintaining best practices in model development, validation, and ongoing performance monitoring
Business Stakeholder Partnership & Analytics Strategy
- Partner strategically with business stakeholders across Corporate Banking functions — including Treasury, Trade Finance, FX, and Cash Management teams — to identify, scope, and prioritize high-value analytics and AI opportunities with measurable business impact
- Translate complex business problems and stakeholder requirements into clearly defined data science problem statements and robust analytical solutions that deliver tangible value to Corporate Banking operations
- Present analytical findings, model outputs, and AI solution recommendations to senior business leaders and executive stakeholders — clearly communicating complex data science concepts in accessible, business-relevant language
Agile Team Leadership & Cross-Functional Collaboration
- Lead agile delivery teams and data science squads through the complete data science lifecycle — from initial problem definition and data exploration through model development, testing, and full production deployment
- Drive and manage complex transformation initiatives involving cross-functional collaboration between Data Science, Data Engineering, Cloud Architecture, and Technology teams to build robust and scalable end-to-end AI solutions
- Mentor and develop junior data scientists and analytics professionals within the team — building overall Data & AI capability and fostering a culture of innovation, rigor, and continuous learning across the function
Qualifications & Requirements
Educational Requirements
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Applied Mathematics, Econometrics, or a closely related quantitative discipline from a recognized university
- PhD in a quantitative field is an advantage for candidates seeking to lead advanced statistical modelling and research-driven AI innovation within the Data & AI function
Experience Requirements
- Minimum 7 years of hands-on experience in Data Science — with a proven, demonstrable track record of delivering scalable, production-grade AI, ML, and analytics solutions within complex, data-driven enterprise environments
- Minimum 7 years of direct banking industry experience — specifically within Corporate Banking, Corporate & Investment Banking (CIB), Commercial Banking, CIBG, or CCIB environments — is a mandatory, non-negotiable requirement
- Proven, hands-on experience with Generative AI frameworks, MLOps tooling, and cloud-based data science and model deployment platforms at scale in a regulated financial services environment
- Demonstrated experience leading cross-functional agile teams and complex data science transformation initiatives from concept through to production within a major banking institution
Technical Skills
- Advanced proficiency in Artificial Intelligence, Machine Learning algorithms, and deep learning frameworks for classification, regression, forecasting, NLP, and recommendation use cases in financial services
- Expert-level statistical modelling and predictive analytics capability — including time series analysis, survival modelling, Bayesian inference, and advanced regression techniques relevant to banking and financial risk
- Hands-on MLOps experience — including model versioning, CI/CD for ML, feature stores, model monitoring, and drift detection in production cloud environments (Azure, AWS, GCP or equivalent)
- Strong understanding of Corporate Banking products, processes, and terminology — including Treasury management, Trade Finance mechanics, FX instruments, and Corporate Cash Management systems
About the Opportunity
This Senior Data Scientist – Corporate Banking role represents one of the most strategically significant and technically demanding data science opportunities available in Abu Dhabi’s financial sector in 2026. The hiring institution is a leading UAE financial organization that is making bold, sustained investments in Artificial Intelligence, Machine Learning, Generative AI, and MLOps capabilities — with a clear ambition to become the most data-driven Corporate Banking operation in the UAE and broader GCC region. The Data & AI function you will be joining is growing rapidly, working at the forefront of financial AI innovation, and looking for a Senior Data Scientist who can combine deep quantitative expertise with genuine Corporate Banking domain authority to lead transformational change from within.
Confidentiality Notice: The identity of the hiring financial institution is being treated as confidential at this stage of the recruitment process. Interested candidates are encouraged to apply promptly — only applicants with verified 7+ years of banking experience and demonstrated AI/ML expertise will be considered for this senior role.
Who Should Apply?
- Senior Data Scientists with Banking DNA: 7+ year data science professionals with deep Corporate Banking, CIB, or Commercial Banking domain expertise and a strong AI and ML delivery track record in the UAE or GCC
- AI/ML Leaders in Financial Services: Professionals with production-grade AI, Generative AI, and MLOps experience within regulated banking environments seeking a senior leadership role in Abu Dhabi’s premier financial sector
- Corporate Banking Analytics Professionals: With Treasury, Trade Finance, FX, or Corporate Cash Management product knowledge and advanced quantitative modelling skills ready for a step-up into a Data Science leadership position
- Generative AI & MLOps Specialists: With banking sector experience seeking to lead cutting-edge AI transformation initiatives at one of Abu Dhabi’s most ambitious financial institutions in 2026
- Agile Data Science Delivery Leaders: With a proven track record of leading cross-functional data science squads and complex AI transformation programs within a major bank or financial institution
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