Senior Specialist – Data Scientist (T00019274)

About the Role

RCI (Retail Customer Intelligence) is a data solutions team within the Retail Banking division, dedicated to leveraging data-driven insights to enhance personalized customer experiences and optimize banking operations. Our focus includes developing intuitive self-service data platforms for non-technical users, utilizing generative AI to boost productivity, and delivering actionable insights at the right time and through the right channels. As a Data Scientist under RCI, Senior Specialist must lead end-to-end analytics projects, ensuring execution aligns with business goals, managing stakeholders, and translating insights into strategic decisions.

Responsibilities

• Lead advanced data analysis and modeling initiatives by developing scalable frameworks, maintaining data integrity, and extracting strategic insights to drive business decisions.
• Lead the development of BI solutions by designing intuitive interfaces to uncover business insights and ensuring data accuracy for reliable decision-making.
• Utilize and optimize generative AI prompts to tailor customer data and provide structured, data-driven rationales.
• Manage the end-to-end system migration of personalization projects, ensuring seamless integration and optimal utilization across all channel platforms.
• Collaborate with senior management to align business objectives and translate them into structured project frameworks for execution.
• Act as the primary authority for data projects: lead scope definition, translate business requirements into actionable tasks, and ensure successful execution aligned with strategic objectives.
• Mentor and develop team members, research global best practices, implement improvements through a milestone-based approach, and leverage generative AI to enhance team productivity and automate work processes.

Qualifications

• Bachelor’s degree in Analytics, Business, Statistics, or a related field.
• 5+ years of experience in data analysis, project management, and stakeholder engagement.
• Strong proficiency in SQL, Excel, and BI tools for data manipulation and reporting.
• Strong understanding of customer analytics, segmentation, and personalization models.
• Generative AI expertise (leveraging AI for automation and personalization) is a plus.
• Ability to lead end-to-end projects, ensuring timely execution and measurable impact.
• Experience in stakeholder management and translating analytics into business applications.
• Strong business strategy skills and expertise in defining and structuring complex project components into manageable workflows.