A long-standing, well-established bank is seeking a highly analytical and proactive Intermediate Data Scientist to join their team. The ideal candidate will have strong expertise in working with structured and unstructured data, developing and deploying AI/ML solutions, and delivering actionable insights. This role requires an individual capable of independently identifying opportunities in data and taking end-to-end ownership of analytical projects.
Responsibilities
Develop, test, and deploy ML models (linear, 3-phased, deep learning) for real-time and batch analytics.
Work with unstructured data sources, including location data, images, voice notes, and text.
Conduct data mining to identify trends, patterns, and opportunities upfront.
Design and maintain dashboards (R Shiny, Dash, Power BI) for internal and stakeholder reporting.
Implement and monitor Responsible AI and ML Ops solutions for model governance.
Utilize big data technologies such as Hadoop, Sp...