Senior/Data Scientist, Process Modelling & Simulation, Decision Science, xData

We are looking for someone who is creative, curious, collaborative and enjoys challenges. If you like to design, build and develop cutting-edge simulation models that can be applied in advance applications like Digital Twins with AI for Home Team operations, we want you! The successful candidate’s primary job role would be with the Process Modelling and Simulation team in Decision Science. There are also opportunities for job holder to gain exposure to related work in other teams within HTX. We believe in upskilling our officers and exposing them to work spanning end-to-end development of simulation projects.

• Work in a Data Science team with other stakeholders to identify, scope, develop and implement Data Science and AI solutions to address users’ needs. • Conduct applied research in advance simulation and data science techniques to tailor models to Home Team operational use cases. These techniques include but are not limited to: o Agent-based simulation o Discrete-event simulation o Traffic simulation o Crowd simulation o Physics based simulation o AI based simulation approaches o Data mining and knowledge discovery o Statistical forecasting methods • Examples of use cases include but are not limited to: o Process models for immigration clearance processes o Crowd models for event planning o Traffic models for car/motorcycle/heavy vehicle clearance analysis o Crowd models for disaster / adverse event planning o Dynamic behavior models for human modelling • Build Digital Twin applications using industry-standard 3D engines such as Unity, Unreal and NVIDIA Omniverse • Prepare and present analytical insights that effectively describe complex quantitative methods in clear and concise communications to business users and stakeholders. • Support large-scale and complex projects which may be developed in-house or co-developed with external or consultancy agencies and/or academic institutions

• Candidates should possess at least a bachelor’s degree in a quantitative discipline: Engineering, Mathematics, Statistics, Data Science, Operations Research or related disciplines. • Candidates must be good problem solvers with strong analytical and mathematical skills. Background in data science or operations research, particularly knowledge in modelling and simulation, is required. Candidates preferably have at least 2 years of relevant working experience, with some experience in AI ML/DL/GenAI. • Experience or interest in modelling and simulation with tools such as AnyLogic, PTV Vissim, ExtendSim and other simulation platforms. • Experience or interest in simulation engines such as Unity, Unreal, Omniverse other 3D simulation platforms. • Applicants with more than 5 years’ relevant experience will be considered for senior positions Personal Characteristics & Behaviours He / She has: • good critical thinking, data analysis and problem-solving skills • good written and verbal communication skills to communicate technical aspects effectively to non-technical audience • good interpersonal and stakeholder management skills to work under tight timelines • good working attitude and able to work effectively as part of a team 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. #LI-NL1