Manager/ Senior Manager
16 hours ago
**What the role is**
- [What the role is]
This role supports the cultivation of an insights-driven and human-centred mindset amongst staff, work with partners to leverage analytics collectively to transform and enhance business processes and provides critical analysis and insights to enable more effective policy and strategy formulation.
[What you would be working on]
An officer in this role would be expected to handle one or more of the following areas of work as part of day-to-day responsibilities or as assignments:
- To explore, use and deploy emerging analytical/ AI techniques, including advanced techniques and best practices to continuously keep abreast of the latest development in analytics.
- To deliver cost-effective, technically sound and robust data analytics solutions to support and enhance the business processes. Provide technical guidance to business stakeholders on complex data-related issues and translate data into insights.
- To conduct research on emerging data architecture, systems, tools and methodologies. Formulate and implement the plans to ensure that the architecture, systems, tools and methodologies continue to support IRAS’ data needs in the mid to long-term.
- To conduct knowledge sharing with data analysts and IRAS data community to deepen analytics competency.
[What we are looking for]
- Degree in Data Science, Statistics, Engineering, Computer Science, Mathematics, Operations Research, Business Analytics or equivalent analytics fields
- Experience in data science and AI area, which includes developing advanced analytics and AI solutions and involves the use of big data and AI algorithms
- Proficiency in SQL and Python is a must. Experience in at least one of the analytics-related programming language or tools e.g. R, SAS, Spark, Hadoop, Tensorflow, PyTorch, PowerBI, etc. is a plus
- Good knowledge in data mining, machine learning and other AI areas, experience in problem formulation, prototyping and implementation with models and methods including classification, clustering, ANNs, recommendation, etc. Specially, project experience in predictive analysis, NLP, deep learning and network analytics is a plus.
- Strong written and verbal communication skills and ability to explain technical solutions and actionable insights to the business users and partners
- Self-driven and motivated
- Ability to question, probe and analyse
- Resourceful and able to work independently in a team environment
**What you will be working on**
**What we are looking for
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