The Bank is transforming into an AI-led bank, revolutionizing how we serve our customers and drive the future of finance. We leverage our rich heritage and expertise to build a data-driven powerhouse that anticipates customer needs, personalizes experiences, and optimizes operations. We're not just talking about AI; we're deploying it, and we're seeing tangible results that touch the lives of every Egyptian. Join our agile, hybrid team and be at the forefront of this exciting transformation!About the Role: We're looking for a highly experienced Senior Data Scientist to join our growing team. You will lead challenging and impactful projects, collaborating with cross-functional teams to develop and deploy cutting-edge AI solutions. You will also mentor junior team members and contribute to the overall AI strategy. Our commitment to agility, human-centricity, social inclusion, and digital transformation is at the core of our work.Responsibilities:Lead end-to-end data science projects from conception to deploymentDevelop and implement advanced machine learning models and algorithmsPerform advanced data mining and analysis to identify trends, patterns, and insightsDesign & guide team members in the optimization, deployment and productionize AI models at scaleCommunicate findings and recommendations to senior management and stakeholdersDrive innovation in data science methodologies and toolsMentor and coach data scientists. We need to remove the sentence as it is not a core responsibility to Senior Data Scientist (not a managerial or supervisory position) , guidance to junior team members is already covered in point 4RequirementsRequired Skills:4+ years of experience in Data Science or a related fieldExcellent understanding of ML/DL and Statistics, theoretical concepts as well as practical applicationsProficiency in programming languages like Python or RAbility to write clean, optimized, and efficient code with the ability to review and optimize team members' submissionsExcellent communication and presentation skillsAbility to work effectively in an agile, hybrid team environmentDesirable Skills:Relevant experience in the financial industry (preferred, but not required) M.Sc. in related field is a plus Understands trade-offs between model accuracy, business impact, and deployment speedExperience with MLOps principles and tools