Deploy AI and ML applications on existing analytics platform to optimize and evaluate the processes.
Analyse historical data to uncover trends and patterns as part of descriptive analytics.
Develop simulation and optimization models to support long range management decision making for health outcomes.
Maintain existing platform on private and commercial cloud to use identified and de-identified data for data exploration and real-time decision support via virtual machines.
Develop and maintain data pipes from existing source systems into analytics platform with support from internal stakeholder.
Manage activities, timelines, tools, staffing and funding for assigned portfolio.
Build up collaborations within and outside of the Department.
Interact with interdisciplinary teams to build data culture.
Any other duties assigned by Reporting Officer
Degree in analytics: Statistics, Mathematics, Computer Science, Business, Engineering, Public Health, or other relevant majors with at least 10 years of relevant experience
Experience in use of R and Python
Proficient in the use of appropriate AI/ML pipelines
Excellent organisation, coordination, and problem-solving skills
Excellent interpersonal, written, and verbal communication skills