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#NEXTP&P2020 - Senior Research Scientist

Date: 03-Apr-2021

Location: Ang Mo Kio, Singapore

Company: Singtel Group

NCS Corporate Labs reinvent the future in collaboration with academic, government, and industry researchers. 


NCS Corporate Labs consist of NCS corporate research team, Singtel Cognitive and Artificial Intelligence Lab for Enterprises (SCALE@NTU), and joint research labs with A*Star research institutes. 


The candidate will join as CO-PI and work with SCALE@NTU researchers, participate IP commercialization process and contribute in IP translation from research into production.



  • Daily tasks for researcher scientist are to use AI and big data techniques to analyze observational data collected from sensors, logs, and business processes to produce insights. 
  • Dependent on the business cases, insights can range from anomaly detection, correlation analysis, root cause analysis, predictive analysis and forecasting. The insights will be used to solve high impact real world problems through predictive maintenance, operation optimization, recommendation, etc.
  • The candidate shall Identify business problems in IoT space, translate business paint points into problem statement and propose a data-driven solution by making use of data collected from real world. 
  • The candidate shall have hands-on experience in handling big data (volume, velocity, variety and veracity) and have experience with relevant Machine Learning and data analytics tools. 
  • The candidate will be working closely with IoT engineering team and subject matter experts to develop, design, implement and test the AI solutions based on customers’ needs and requirements.


The ideal candidate should be / possess: 

  • 5+ years of experience in related field.
  • Ph.D in Electrical, Electronic, Computer Engineering.
  • Proficient in solving real-world problems with data-driven approach, and good at shaping products and solutions with artificial intelligence, machine learning algorithms.
  • Proficient in Python, Java, C, or C++ Programming languages, and familiar with Linux OS.
  • Familiar with quick prototyping with toolkits including pandas, scikit-learn, pytorch/ tensorflow.
  • Strong competency in various machine learning techniques and solid understanding of advanced analytics.
  • Fast learning ability to be able to understand application domains within a short time.
  • Experienced in software architecture, design, and implementation, cloud computing and docker container.
  • Preferred with ML development best practices, solution architecting, and quick prototyping with open source frameworks /cloud platforms.
  • Able to work cooperatively with cross-functional team, and supervise junior researchers.