Senior Data Scientist performs the following duties and responsibilities: utilization of specified machine learning and deep learning models; lead, mentor, and manage a team of data scientists and researchers to deliver impactful AI projects; foster a collaborative and innovative culture, encouraging the team to explore new methodologies and technologies; oversee the development and deployment of scalable machine learning models and algorithms; conduct exploratory data analysis and model evaluation to direct research efforts; author and contribute to research publications, presenting findings at conferences and workshops; collaborate with interdisciplinary teams to integrate AI solutions with domain-specific knowledge; communicate complex technical concepts to non-technical stakeholders effectively; partner with external organizations, universities, or consortia to drive collaborative research projects; stay abreast of the latest advancements in AI and machine learning, incorporating relevant technologies and methodologies; put machine learning and deep algorithms into practice; provide reports about model performances; transfer knowledge including practical skills, methods and techniques;  contribute to the preparation of proposals and applications to external bodies, e.g. for funding and accreditation purposes; promote and market the work of the Institute in the subject area both nationally and internationally; participation in identification, evaluation, management and monitoring of risks within the framework of supervised direction;