Senior Associate Data Scientist

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, the Senior Associate will develop and implement analytics solutions, transform complex customer data into actionable insights, and work closely with business stakeholders to support data-driven decision-making.

Job Description.

Insight Generation & Actionability

• Develop and maintain SQL/Python-based data solutions, analytical datasets, and reusable analytics frameworks with a focus on accuracy, scalability, and efficiency.
• Apply customer analytics techniques, including segmentation, behavioral analysis, propensity modeling, and personalization, to support relevant customer engagement.
• Utilize and optimize Generative AI prompts and solutions to enhance customer insights, automate analytical processes, and improve productivity.
• Ensure data quality and validate analytical outputs before implementation and business use.

Business Collaboration & Project Execution

• Work closely with business stakeholders to understand business objectives and translate requirements into structured analytical tasks and solutions.
• Manage assigned analytics workstreams from data exploration and solution development through validation and implementation.
• Present analytical findings in a clear and actionable manner, connecting data insights with business implications and recommended actions.
• Proactively identify opportunities where data and analytics can improve customer experience, business performance, or operational efficiency.

Qualifications.

• Bachelor's or Master's degree in Analytics, Data Science, Statistics, Computer Science, Engineering, Business, Economics, or a related field.
• 2+ years of experience in data analytics, data science, business analytics, or a related field.
• Strong proficiency in SQL and experience working with large and complex datasets.
• Proficiency in Python for data analysis, analytical model development, or process automation.
• Experience with Excel and BI tools for analysis, visualization, and reporting.
• Experience with Generative AI, prompt engineering, or AI-enabled automation is a plus.
• Ability to translate business requirements into structured analytical approaches and independently execute assigned workstreams.
• Good communication and stakeholder-management skills, with the ability to explain analytical findings to both technical and non-technical audiences.
• Strong problem-solving ability, attention to data quality, and willingness to learn new technologies and methodologies.