Senior Manager - Data Science

Embark on a journey where your unique contributions are celebrated, and your professional growth is embraced. At ADCB, we nurture a diverse, inclusive community where every voice is valued.

About the business area

GBS is a group of highly skilled and talented professionals who form an essential part of ADCB's continued journey of success. With a proud history of commitment, innovation and delivery, GBS constantly strives for excellence whilst ensuring the highest standards of quality and risk awareness. Each and every member of the GBS family plays an integral role in driving ADCB's strategy, growth and digital evolution by working closely with our valued business partners to achieve exceptional customer experience through our outstanding service and support.

We are actively seeking an ambitious professional to join our team at ADCB to work alongside passionate colleagues who share your ambition to redefine excellence in UAE banking

In this role, your key responsibilities include:

• To lead the development and adoption of high impact Data Science and Machine Learning projects that drive measurable business outcomes across banking domains such as Retail, CWIBG, risk, credit, operations, etc, translating complex business problems into data science solutions, applying advanced statistical and machine learning techniques, ensuring models are robust, explainable, and fit for production use, providing technical and strategic insights, and working closely with business and technology stakeholders to ensure insights and models are effectively embedded into decision making processes and deliver sustained value.

• Analyse and provide insights on banking products and services for strategic decision-making.
• Leverage Data Science and Machine Learning (ML) to enhance banking processes and digital journeys
• Leads banking Data Science projects to drive business growth and innovation
• Design, develop, and deploy advanced Data Science and Machine Learning models to improve decision‑making, efficiency, and risk outcomes across banking operations and customer journeys
• Apply supervised, unsupervised, and time‑series modeling techniques to solve complex business problems using structured and semi‑structured data
• Lead feature engineering, model selection, training, validation, and benchmarking to ensure robust, explainable, and high‑performing models

• Lead structured change interventions (impact assessments, readiness checks, training, and communication plans) to ensure successful deployment and sustainability of data science initiatives.
• Implement approved departmental policies, processes and procedures, and ensure employee adherence so that work is carried out to the required standard while delivering the required standards of service to customers and stakeholders

The ideal candidate should have the following experience:

• At least 7 years of experience in data science, with proven expertise in AI/ML, statistical modeling, and cloud-based deployments, a strong background in banking processes, operations, terminologies, generative AI, and Machine Learning Operations (MLOps), and experience leading cross-functional teams and agile squads while delivering scalable, production-grade solutions in a regulated, data-driven environment.
• Bachelor’s degree in a quantitative field such as Computer Science, Artificial Intelligence, Software Engineering, Statistics, Mathematics, or a related field is required, with a master’s degree or equivalent in AI/ML/Data Science preferred.
• Advanced Python and ML Development
• Statistical Analysis and Experimentation
• Machine Learning and MLOps
• Generative AI and LLMs
• Cloud-based ML Pipelines (Azure/AWS)
• Data Visualization and Dashboarding
• DevOps & CI/CD Practices

What we offer:

Comprehensive Benefits Package: This includes market-leading medical insurance, group life and personal accident insurance, paid leave and leave airfare, employee preferential rates on loans and finance facilities, staff discounts and offers, and children education assistance (for certain job levels).

Flexible and Remote Working Options: We understand the importance of work-life balance and offer flexible working arrangements, subject to eligibility and job requirements.

Learning and Development Opportunities: We value and facilitate continuous learning and personal development, through a variety of exciting learning opportunities, such as structured instructor-led courses, a comprehensive e-Learning catalog, on-the-job training and professional development programs.

At ADCB, we are dedicated to creating a respectful, caring and disciplined work environment that aligns with your career ambitions.