Manager Data Science

Overview

Manager - Data Science

Core Responsibilities

• Identify AI use cases across all departments
• Extract, mine and transform data from valuable data sources
• Use machine learning tools to select features, create and optimise classifiers
• Carry out pre-processing of structured and unstructured data
• Enhance data collection procedures to ensure completeness and relevance for analytics and AI initiatives
• Conduct deep exploratory data analysis to uncover trends, patterns, correlations, and anomalies
• Build and deploy scalable predictive models and machine learning solutions
• Communicate complex analytical findings in a clear, structured, and business-friendly manner
• Translate business problems into analytical solutions and recommend data-driven strategies
• Collaborate closely with business stakeholders, IT teams, and cross-functional experts to deliver end-to-end solutions
• Provide coaching and technical guidance to SMEs and internal CBUAE teams, supporting demand intake and AI delivery enablement
• Contribute to the continuous improvement of data science methodologies, tools, and governance frameworks
• Undertake additional responsibilities as required in support of organisational priorities

People Management Responsibilities

• Provide leadership and direction to direct reports towards the achievement of goals and objectives.
• Guide and mentor direct reports to enhance performance and produce quality work, and ensure that they are continuously developing for higher level roles.
• Conduct performance evaluation and appraisal reports of direct reports to assess subordinates productivity and progress and identify training needs.
• Ensure continuous communication of organizational priorities, changes and strategic direction within the team.

Qualifications and Experience

• Bachelor's Degree in Information Technology / Artificial Intelligence/ Data Science or a related field or relevant subject.
• Relevant professional certifications or memberships will be considered an advantage.
• Minimum of 4+ years’ experience preferably in a banking or financial industry
• Programming skills – knowledge of statistical programming languages like R, Python, and databases query languages like SQL and Hive.
• Statistics – Excellent applied statistical skills, including knowledge of statistical tests, distributions, and regression analysis.
• Machine Learning – excellent knowledge of machine learning.
• Strong software engineering background
• Problem-solving aptitude
• Hands-on experience with data science tools.
• The CBUAE offers you the opportunity to join an interdisciplinary and multinational team that spans diverse backgrounds and experiences.
• You will have the opportunity to work in a dynamic environment alongside some of the leading financial and regulatory experts in the industry.
• If the above description corresponds to your profile and career interests, please apply by attaching your CV.