What the role is:As a Data Scientist (Risk Sensemaking Analytics) in HTX, you will develop suite of inhouse AI models to augment Cognitive workload of Home Team officers, and collaborate with stakeholders to develop data science & AI models to solve MHA's operational challenges and support new transformative capabilities. You will implement and deploy solutions best meet users' requirements, accounting for technological suitability and factors of operational needs and alignment to organisational-level plans and roadmaps.What you will be working on:The job-holder will collaborate with various teams (within HTX and across Home Teams) and is responsible to: Work in a data science team with other stakeholders to identify, scope, develop and implement data science and AI solutions to address users' needs. Design and implement workflows for data pre-processing and feature engineering, develop machine learning models, and evaluate techniques and algorithms. Conduct evaluation of analytical output (e.g. model) and regular review of productionized models; refresh/ retire models. Prepare and present analytical insights that effectively describe complex quantitative methods in clear and concise communications to business users and stakeholders. Conduct strategic planning and develop data science & AI capabilities for MHA Work with relevant units to drive the adoption of data science & AI in MHA officers' daily work. Advise business users on how data science approach can be applied to resolve strategic and operational challenges. Keep abreast of latest technological advances in data science and AI techniques.What we are looking for:
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