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.

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.

- Degree in a quantitative discipline that involves Data Science/Analytics, Statistics, Applied Mathematics &/or Scientific Computing or relevant disciplines. - Strong understanding in one or more of the following areas: - Artificial intelligence algorithms - Machine learning and deep learning - Data mining and knowledge discovery - Statistical forecasting methods - Link analysis - Natural language processing - Proficient in ML/AI scripting languages (Python, R), data query languages such as SQL - Candidate with knowledge or experience on Dev Ops / ML Ops will have an added advantage - At least 2 years of working experience in AI/ML Personal Characteristics & Behaviours He / She has - Excellent critical thinking, data analysis and problem-solving skills - Excellent written and verbal communication skills - Excellent interpersonal and stakeholder management skills - Ability to work under tight timelines - Excellent communication skills to translate complex AI/ML concepts into actionable insights for non-technical stakeholders. - Self-motivated, open minded, resourceful and meticulous. Able to work independently and within teams. - Quick learner with the ability to implement new technologies. All new hires are appointed on a two-year contract in the first instance and will be assessed and considered for permanent tenure over time, based on performance. As part of the shortlisting process for this role, you may be required to complete a medical declaration and/or undergo further assessment. All applicants will be updated on the status of their applications within 4 weeks upon closing of the advertisement.

HTX is the world’s first Science and Technology agency that integrates a diverse range of scientific and engineering capabilities to innovate and deliver transformative and operationally-ready solutions for homeland security. As a statutory board of the Ministry of Home Affairs and integral to the Home Team, HTX works at the forefront of science and technology to empower Singapore’s frontline of security. Our shared mission is to amplify, augment and accelerate the Home Team’s advantage and secure Singapore as the safest place on planet earth.