What The Role Is
As a Data Scientist (Risk Sensemaking Analytics) in HTX, you will develop a suite of in‑house AI models to augment the cognitive workload of Home Team officers and collaborate with stakeholders to develop data science & AI models that solve MHA’s operational challenges and support new transformative capabilities. You will implement and deploy solutions that best meet users’ requirements, considering technological suitability, operational needs, and alignment to organisational roadmaps.
What You Will Be Working On
- 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 productionised models; refresh or retire models as needed.
- Prepare and present analytical insights that effectively describe complex quantitative methods in clear and concise communication to business users and stakeholders.
- Conduct strategic planning and develop data science & AI capabilities for MHA; work with relevant units to drive adoption of data science & AI in MHA officers’ daily work, and advise business users on how a data‑science approach can resolve strategic and operational challenges.
- Keep abreast of the latest technological advances in data science and AI techniques.
What We Are Looking For
- Degree in a quantitative discipline involving Data Science/Analytics, Statistics, Applied Mathematics and/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.
- Proficiency in ML/AI scripting languages (Python, R) and data query languages such as SQL.
- Knowledge or experience in DevOps/ML‑Ops is an added advantage.
- At least 2 years of working experience in AI/ML.
Personal Characteristics & Behaviours
- 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.
- Capability to translate complex AI/ML concepts into actionable insights for non‑technical stakeholders.
- Self‑motivated, open‑mind, 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 four weeks upon closing of the advertisement.