Data Scientist

The Data Scientist will develop AI and machine learning solutions that support data-led decisions across customer engagement, marketing, retention, risk and product functions. The position combines statistical and analytical expertise with hands-on development using open-source technologies. It includes building interactive applications and deploying models in batch and real-time environments for practical business use.

Success in this position depends on accurate work, sound judgement, timely follow-up and clear communication with colleagues and stakeholders. Issues should be escalated through the appropriate channels.

Key Responsibilities

• Develop machine learning models using suitable methods such as regression, classification, time-series analysis, clustering, natural language processing and optimisation.
• Work with business teams to identify AI and machine learning use cases and convert them into deliverable solutions.
• Build, test and deploy end-to-end models, ensuring that outputs can be used effectively in business decision processes.
• Maintain high coding standards, peer review, reproducibility and clear technical documentation.
• Support analytics, MIS and reporting requirements using Python, SQL and relevant data tools.

Requirements and Qualifications

• Overall experience of more than nine years in analytics, data science or a similar function.
• Three to four years of experience in banking analytics.
• Practical Python and SQL experience, including end-to-end machine learning model deployment.
• Knowledge of machine learning, deep learning, time-series methods, optimisation and customer analytics; cloud and API deployment experience is useful.

Academic background: A relevant degree in data science, computer science, statistics, mathematics or a related field is appropriate; exact degree details are not stated in the available role extract.

Relevant experience: 9+ years in analytics/data science, including 3–4 years in banking analytics.

Skills

• Python
• SQL
• machine learning
• deep learning
• customer analytics
• model deployment
• cloud

Employment Details

This is a full time opportunity with RAKBANK in United Arab Emirates. The successful candidate must follow internal policies, protect confidential information and maintain professional service standards. Compensation and benefits can be confirmed during recruitment.