Head of Data Science

About You & the RoleYou are a strategic thinker and hands-on leader who is passionate about turning data into business value. As a Data Science Lead, you will drive the development of advanced analytics, machine learning, and AI solutions that support business growth and innovation. You will lead a team of data professionals, partner with stakeholders across the organization, and help shape the future of data-driven decision-making.What You Will Be DoingDefine and execute the organization's data science strategy aligned with business objectives.Lead, mentor, and develop a team of data scientists while fostering a culture of innovation and continuous learning.Partner with business units to identify opportunities where data science can improve performance, efficiency, and customer experience.Develop predictive models, machine learning solutions, and advanced analytics initiatives to solve complex business challenges.Oversee end-to-end data science projects from ideation and proof of value through deployment and optimization.Collaborate with IT and other teams to ensure data quality, governance, security, and scalability.Present insights, recommendations, and business impact to senior stakeholders and decision-makers.Explore emerging technologies, industry trends, and innovative applications of AI and data science.What Success Looks LikeData science initiatives deliver measurable business impact and support strategic objectives.Predictive models and analytics solutions are successfully implemented and adopted by the business.Projects are delivered on time, meet stakeholder expectations, and generate actionable insights.Strong collaboration exists between data, technology, and business teams.The data science team continues to grow in capability, innovation, and performance.QualificationsBachelor's degree in a relevant field (e.g., Data Science, Computer Science, Statistics, Mathematics, Engineering). Advanced degree (Master's or Ph.D.) in Data Science or a related field preferred.Minimum of 10 years of experience in data science, analytics, or a related field, with at least 5 years in a leadership or managerial role, and relevant banking experience.Strong knowledge and hands-on experience in data analysis, statistical modeling, machine learning, and predictive analytics.

Technical Skills

Proficiency in programming languages such as Python or R. Experience with data manipulation and visualization tools (e.g., SQL, Tableau, Power BI).Familiarity with big data technologies and cloud platforms (e.g., Hadoop, Spark, AWS, Azure) is advantageous.Project management experience including planning, initiation, resource allocation, risk & issue management, and stakeholder management are required.What You Can Expect HereOpportunities to lead high-impact AI and data science initiatives.Exposure to enterprise-scale analytics projects and business transformation programs.Continuous learning in emerging technologies, machine learning, and AI.A collaborative environment where innovation and knowledge-sharing are encouraged.Career growth opportunities while working alongside business leaders, technology teams, and industry experts.Apply NowIf you're ready to lead data-driven innovation, build high-performing teams, and create solutions that make a real business impact, we'd love to hear from you. Join us and help shape the future of banking through data science and AI.