The Ministry of Home Affairs (MHA) aspires to be world-class in delivering a safe and secure home for our people. In pursuing our mission to help make Singapore safe and secure, we remain always constant and true to our core values of Honour and Unity.
MHA utilises state-of-the-art technology and technical know-how to safeguard Singapore’s security and sovereignty. To stay ahead of increasingly sophisticated threats, we have embarked on a journey to leverage on big data, making data analytics part of our operations. We are constantly on a lookout for potential candidates who are interested in working with a large range and volume of data; candidates who are able to dissect, distil,and deliver actionable insights based on complex and varied data sets.
Besides being passionate about data, analytics and problem solving, candidates should also be driven by our mission to make Singapore a safer home, and enjoy working on challenging, diverse and unique problem statements. You will be supported by a team of highly technical and collaborative colleagues with opportunities for advanced training, including leading overseas conferences and courses.
Conducting end-to-end data mining on complex data sources, including processing, cleaning, integrating, analysing, visualising and detecting anomalies
Present and communicate data-driven findings and recommendations in a coherent, intuitive and concise manner to stakeholders and management
Evaluate and improve upon internal analytical and machine learning tools
Identify, select, and develop suitable AI or machine learning models for a wide array of problem statementsand business principles
Work closely with end users, data engineers and project managers in the planning, development, scaling up, and delivery of solutions
Ministry of Home Affairs Cayman Islands
Fresh Graduates are welcome to apply.
Curious, self-motivated, resourceful, meticulous and enjoys challenges.
Passionate about data analytics, data mining, logic, and problem solving.
Excellent understanding of mathematical, statistical and analytical concepts, and how they can be applied.
Interest and ability to gain expertise in and keep abreast of new developments in data mining/ machine learning/ data analytics algorithms, tools and methods.
Ability to keep the overarching objectives of the project in mind while pursuing the technical details.
Knowledge and experience with the following would be an advantage :
Statistical, analytical or numerical computing software and tools (e.g. R, SAS, SPSS, Stata, Matlab)
Visual analytics or data visualisation techniques (e.g. Tableau, Power BI, D3)
Machine learning and modelling (e.g. predictive analytics, natural language processing)
Databases and related querying languages (e.g. SQL, Pig, Hive, SparkQL)
Big data systems (e.g. Hadoop, Spark, Pig, Hive, MapReduce)
Singapore Citizens only.