Artificial Intelligence, Machine Learning, Natural Language Processing, Knowledge-Based Systems, GPU, Spark Cluster, Docker, Kubernetes, mlflow, Kubeflow …
If you know what we are talking about, you are the one that we are looking for!

Data Scientist
Urban Redevelopment Authority
Permanent/ContractClosed
What the role is
What you will be working on
You will partner business leads and management to lead initiatives and teams in building Artificial Intelligence (AI) solutions for the Urban Planning domain. You will serve as the subject matter expert in the application of machine learning and natural language processing techniques in knowledge-based systems, to equip URA’s planning processes with AI decision support systems, that strengthen URA’s ability to meet the needs of a changing operating environment. You will work closely with management to formulate, refine, drive and implement URA’s AI strategy, as well as to advise on URA’s Data Strategy and System Design efforts.
You will work collaboratively with internal user groups (Urban Planners, Architects, Data Engineers, Data Scientist, Software Developers, AI Engineers) in the design, development and deployment of the solutions, as well as train team members in the use of AI technologies. You will collaborate with agencies, academic and industry partners to harness external expertise to inform and address capability gaps, as well as foster an AI Urban Planning eco-system.
You will need to present to senior management the progress of AI efforts, and explain complex technical information and analysis in a manner where the key principles, concepts and implications are easy for a general audience to understand.
What we are looking for
• Minimum Bachelor's Degree in Computer Science, Data Science, Data Analytics, Statistics, Mathematics or related discipline. Certifications, Master or PhD degree in stated fields is a plus.
• Have a keen interest in cities and in applying AI expert knowledge to develop solutions that will enable Urban Planners to make Singapore an even more liveable and economically competitive city.
• Expert knowledge in at least 1 of the following areas, with good understanding of the others:
o Common machine learning algorithms and key parameters, with experience in applying Supervised, Unsupervised and Reinforcement Learning on time-series and multi-dimensional data.
o Natural Language Processing, Natural Language Understanding, Natural Language Generation with experience in applying Information Extraction and Classification on large volume of documents.
o Knowledge-based Systems (KBS), with experience in building knowledge base (including knowledge graph) and designing expert systems with ability to interact with people through question and answering.
• Demonstrable experience in the areas above, and a good track record of working with cross-functional teams, ideally experience in leading a team of engineers in development and training of ML models using best practices in an Agile manner.
• Familiar with setting up of an AI Lab with infrastructures (e.g. GPU, Spark Cluster), AI software delivery using microservices/container (Docker, Kubernetes), cloud technologies (Microsoft Azure/AWS), Machine Learning Operations framework (mlflow, Kubeflow)
• Keen to learn and share new methods and techniques with team members
• Good communication and interpersonal skills
About Urban Redevelopment Authority
The Urban Redevelopment Authority (URA) is Singapore's national land use planning authority. URA prepares long term strategic plans, as well as detailed local area plans, for physical development, and then co-ordinates and guides efforts to bring these plans to reality. Prudent land use planning has enabled Singapore to enjoy strong economic growth and social cohesion, and ensures that sufficient land is safeguarded to support continued economic progress and future development.
About your application process
If you do not hear from us within 4 weeks of the job ad closing date, we seek your understanding that it is likely that we are not moving forward with your application for this role. We thank you for your interest and would like to assure you that this does not affect your other job applications with the Public Service. We encourage you to explore and apply for other roles within Urban Redevelopment Authority or the wider Public Service.