Job summary.
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. By integrating these solutions, RCI strives to create seamless, customer-centric experiences while driving value for both customers and the bank.
As a Data Scientist under RCI, Senior Specialist must lead end-to-end analytics projects, ensuring execution aligns with business goals, along with manages stakeholders and translates insights into strategic decisions.
Job description
Insight Generation & Actionability
- 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.
- Utilizing and optimizing generative AI prompt 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.
Strategic Collaboration & Innovation:
- Collaborate with senior management to align business objective and translate into structured project frameworks for execution.
- Act as the primary authority for data projects, leading scope definition, translating business requirements into actionable tasks, and ensuring successful execution and alignment with strategic objectives.
Team Development
- Mentor and develop team members, providing guidance and support to enhance team member skills.
- Research global best practices to enhance team capabilities, ensuring improvements are implemented through a structured milestone-based approach.
- Leveraging generative AI to enhance team productivity and automating the work process
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 impact.
- Experience in stakeholder management, translating analytics into business applications.
- Strong business strategy skills, aligning analytics initiatives with company goals.
- Expertise in project component defining, structuring complex tasks into manageable workflows.
