19 Job Postings
2025-07-17 - 2026-07-17
The common responsibilities for this position include partnering with business units to analyze requirements and identify opportunities for AI adoption, assessing the feasibility of proposed solutions, and conducting proof-of-concept studies. The role involves contributing to the development of the bank’s AI application ecosystem, participating in AI and data analytics initiatives, and engaging in the planning, design, and execution of projects. Additionally, it includes collaborating within cross-functional teams throughout the machine learning model development lifecycle, conducting innovative research to shape the bank’s AI strategy, and preparing tailored study reports and presentations. The responsibilities also encompass gathering, cleaning, and organizing data from diverse sources, conducting exploratory data analysis, and building and maintaining interactive dashboards and reports. The position requires optimizing data structures and managing data operations across various platforms, as well as designing, developing, and enhancing machine learning models. Furthermore, it involves transforming data science insights into actionable business strategies, monitoring and optimizing AI products, and ensuring data quality and accessibility through effective collaboration with teams.
The percentages next to each skill reflect the sector’s demands in these respective skills. E.g., 30% means this skill has been listed in 30% of all the job postings in this sector.
The skills distribution tells you what specific skill sets are in demand. E.g., Skills with a distribution of “More than 50%” means that these skills are wanted in more than 50% of the job postings.
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