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Senior AI Scientist

Apply now Agency: Urban Redevelopment Authority
Job no.: 536646
Work type: Contract
Location: Singapore
Categories: InfoComm, Technology, New Media Communications

About Urban Redevelopment Authority (URA)

The Urban Redevelopment Authority (URA) is Singapore’s planning authority. Our mission is to make Singapore a great city to live, work and play. We plan and facilitate the physical development of Singapore, in partnership with agencies and the community, to create a vibrant, sustainable and cosmopolitan city of distinction.

URA has undergone a digitalization journey to harness Geospatial and Data Analytics for more data-informed planning. URA was recognized as a leading organization in Digital Transformation, and was the Asia Pacific 2017 regional DX Leader in Talent Acceleration, as well as the 2019 PSD Public Sector Transformation – Business Transformation Award recipient. URA is embarking on a Digitalization 2.0 effort, to go beyond Urban Analytics to use of Artificial Intelligence (AI) in our Future Planning Processes.


About Digital Planning Lab

Be part of the URA Digital Planning Lab, which spearheads development and experimentation of smart planning technologies through Ops-Tech inter-disciplinary collaborations. Digital Planning Lab’s teams with capabilities in software development, geospatial analytics, data science and governance, work closely with planners to generate insights and develop solutions to tackle interesting and unique challenges of Singapore’s urban planning needs. The teams also work closely with internal and external partners on research and development of new digital capabilities and solutions.


About the job

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 collaboratively with internal user groups (Urban Planners, Architects, Data Engineers, Data Scientist, Software Developers) 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 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 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 understanding.



  • 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
  • Doctoral degree in Computer Science, Machine Learning, Operations Research, Applied Mathematics, Statistics; or Master degree in these fields with significant work experience
  • Expert knowledge in at least 1 of the following areas, with good understanding of the others:
    • Common machine learning algorithms and key parameters, with experience in applying Supervised, Unsupervised and Reinforcement Learning on time-series and multi-dimensional data.
    • Natural Language Processing, with experience in applying Content Extraction and Classification on large volume of documents.
    • 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 answer
  • Demonstrable experience in the areas above, and a good track record of working with cross-functional teams, ideally working with Agile development methodologies
  • Is keen to learn and share new methods and techniques with team members
  • Good communication and inter-personal skills

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