Job description

What the role is

As a Data Analyst / Data Scientist, you will have the opportunity to shape the direction on the data architecture, systems tools and methodologies to better support and achieve Customs’ business goals and targets. You will be able to explore import/export trade and travellers data sets in Singapore and create impactful solutions across the organisation. You will play a role in driving the use of analytics in Customs.

What you will be working on

Key Responsibilities:

  • Develop/rebuild data analytics models to solve complex problems and extract valuable business insights in an environment of rapid growth and increasing complexity.
  • Use a variety of programming languages and libraries, tools and software to analyse the data, as well as develop prediction, classification models and AI-enabled applications.
  • Develop processes and tools to monitor, analyse and improve model performance and data accuracy.
  • Present the results with data visualisation tools, and propose solutions and strategies to improve performance.
  • Contribute to the deepening of data analytics capability in Singapore Customs, including training and guiding business users in collection, processing and interpretation of data.
  • Work closely with business units and technical teams to operationalise data science and AI projects, develop strategy for long term data analytics structure and architecture for Singapore Customs.

What we are looking for


  • At least 3 years of working experience as a Data Analyst / Data Scientist.
  • Proficiency in using algorithms related to natural language processing, data mining, machine learning, deep learning and other AI areas.
  • At least 2 years of industry experience in using Python and SQL. Experience in R, SAS Scripts, etc. is a plus.
  • Experience in ETL, data pre-processing, data cleansing and validation, as well as data modelling.
  • Relevant certifications such as the SAS-Business Intelligence & Analytics (BIA) programme, as well those from DataCamp, Udemy or Coursera is a plus.
  • Strong analytical mind and problem-solving aptitude.
  • Excellent communication and presentation skills and ability to explain technical solutions to business users and partners.
  • Good problem-solving ability to ensure that application issues are being responded to and resolved proactively.
  • Able to handle multiple tasks simultaneously, work independently and as a member of a team.

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