The common responsibilities for this position include analyzing large and complex datasets to identify trends, opportunities, and business risks, and translating data into actionable insights for stakeholders. The role involves collaborating with business units to analyze requirements and identify opportunities for AI adoption, assessing the feasibility of proposed solutions, and conducting proof-of-concept studies. Additionally, it entails developing and maintaining robust data models, reports, and interactive dashboards to support strategic decision-making, ensuring data accuracy and integrity through validation and transformation processes. The position also requires conducting innovative research to shape AI strategy, preparing tailored study reports and presentations, and supporting the continuous improvement of AI governance and risk control measures. Furthermore, it includes mentoring colleagues in using analytics tools, collaborating with cross-functional teams throughout the machine learning model development lifecycle, and driving end-to-end data support for business operations.
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.
Job classifications that have advertised a position
Academic degree required as indicated by all job postings
Job subclassifications that have advertised a position