Senior Specialist - Data Science

Abu Dhabi Commercial Bank; Abu Dhabi; On-site; AED 420,000 - 620,000; Full time

Benefits offered by this job

Medical insurance

Life and personal accident insurance

Paid leave and airfare

Staff discounts and loans

Education assistance

Flexible remote working

Learning & development programs

Job summary

Abu Dhabi Commercial Bank seeks an ambitious data science professional to develop and implement AI/ML solutions advancing the bank's digital evolution. You will lead model design, ensure data quality, and collaborate with engineering and business teams to translate insights into action.

Required: 5+ years in data science, advanced Python, and experience with AI/ML in banking; Masters preferred. Flexible remote options and strong MLOps capabilities are valued in this role.

Qualifications

• Minimum 5 years of data science experience with AI/ML and cloud deployments.
• Strong banking processes knowledge and GenAI experience preferred.
• Leadership of cross-functional teams in regulated environments.
• Bachelor’s in a quantitative field; Master’s in AI/ML preferred.
• Advanced Python for AI/ML development and data manipulation.
• Experience with transformers, GenAI, and MLOps tooling.

Responsibilities

• Develop and implement advanced data science solutions to support the organization’s AI strategy.
• Lead design and execution of analytical models ensuring data integrity and scalability.
• Collaborate with cross-functional teams to translate data into actionable insights.
• Drive design and deployment of AI/ML models to optimize core operations.
• Build ML pipelines using Azure AI Foundry or AWS SageMaker with CI/CD integration.
• Fine-tune LLMs with LoRA/PEFT and evaluate with BLEU/ROUGE metrics.

Skills

AI/ML fundamentals

Statistical modelling

Advanced Python

Experiment design

Cross-functional collaboration

MLOps

Tableau/Power BI

Education

Bachelor's in quantitative field

Master’s in AI/ML (preferred)

Tools

Azure AI Foundry

AWS SageMaker

Docker

CI/CD pipelines

Cloud platforms (Azure/AWS)

Tableau

Power BI

Job description

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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:

• Develop and Implement advanced data science solutions to support the organization’s AI strategy
• Lead the design and execution of analytical models, ensuring data integrity, scalability, and relevance to business objectives
• Collaborate with cross-functional teams to translate complex data into actionable insights, and contribute to the structuring of AI-related roles and capabilities through evidence-based workforce planning and job design
• Drive the design and deployment of advanced Artificial Intelligence (AI)/Machine Learning (ML) models to optimize core banking operations, enhance digital customer journeys, and support strategic decision-making
• Build and maintain robust machine learning pipelines using Azure AI Foundry or AWS SageMaker, ensuring scalability, automation, and seamless integration with cloud-native services
• Develop and fine-tune generative AI models, including RAG and agentic workflows, leveraging cutting-edge techniques like Low-Rank Adaptation (LoRA), Parameter-efficient fine-tuning (PEFT), and multimodal architectures
• Design and execute complex experimental frameworks, including A/B testing, to derive actionable insights and validate model performance with statistical inference
• Work closely with software and data engineers to implement version-controlled, containerized (Docker) solutions, and Continuous Integration (CI)/Continuous Deployment (CD) pipelines for efficient model deployment
• Define and enforce documentation standards, coding practices, and reproducibility protocols to ensure consistency and quality across all data science projects
• Monitor and evaluate model performance using Machine Learning Operations (MLOps) and Large Language Models (LLMs) specific metrics (e.g., Bilingual Evaluation Understudy (BLEU), ROUGE), ensuring transparency, fairness, and continuous improvement of Artificial Intelligence (AI) systems
• Strong knowledge of banking operations and terminologies
• Analyses complex banking products and services for facilitating decision-making
• Adhere to all relevant organisational and departmental policies, processes, standard operating procedures and instructions so that work is carried out to the required standard and in a consistent manner while delivering the required standard of service to customers and stakeholders
• Manage self in line with the Bank’s people management policies, procedures, processes and practices to ensure adherence and to maximise own contribution to business performance
• Demonstrate Our Promise and apply the ADCB Service Standards to deliver the Bank’s required levels of service in all internal and external customer interactions

The ideal candidate should have the following experience:

• Minimum 5 years of experience in data science, with proven expertise in AI/ML, statistical modelling, and cloud-based deployments
• Strong background in banking processes, generative AI, and Machine Learning Operations (MLOps)
• Experience leading cross-functional teams and delivering scalable, production-grade solutions in a regulated, data-driven environment
• Bachelor’s degree in quantitative field such as Computer Science, Artificial Intelligence, Software Engineering, Statistics, Mathematics or related field required
• Master’s degree or equivalent in AI/ML is preferred
• N/A
• Advanced Python for AI/ML development and data manipulation
• Strong statistical expertise and experimental design (A/B testing, inference)
• Experience with ML models (transformers, RNNs), GenAI, and agentic workflows
• Skilled in fine-tuning LLMs using LoRA, PEFT, and evaluating with BLEU/ROUGE
• Proficient in building ML pipelines on Azure AI Foundry or AWS SageMaker
• Familiar with cloud services (Azure/AWS), serverless deployments, and MLOps tools
• Strong data visualization skills (Tableau, Power BI) with UX-focused design
• Effective collaboration with engineering teams and cross-functional stakeholders
• Knowledge of CI/CD, containerization, and documentation standards
• Active learner with awareness of emerging AI trends and technologies

What we offer:

Comprehensive Benefits Package:

• 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
• 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

• structured instructor-led courses
• comprehensive e-Learning catalog
• on-the-job training
• professional development programs