Sr/Data Analyst (Data Science) Data Office, IDTD

The Data Office in the InfoTech & Digital Transformation Department (IDTD) supports PUB’s development of data capabilities through its functions in three domains. It oversees data and AI governance to ensure compliance with IM8 and other directives while building organisational competency and fostering a data and AI-driven culture through initiatives and programmes. It also plans for PUB’s data infrastructure, executes projects to implement the required systems and manages the systems for PUB’s use. Finally, through the Data Science Unit, the Data Office will also drive the adoption of data science across PUB by working with business units to develop Data Science and Artificial Intelligence (DSAI) solutions in-house.

The Senior/Data Analyst (Data Science) will be part of the Data Science Unit. He/She will build data science and artificial intelligence solutions for business units, as well as contribute to PUB’s efforts to build up our data science capabilities and culture by: • Working closely with business stakeholders in departments to understand their business challenges, scope the problem, and develop an approach to solve the problem with data; • Performing data cleaning, pre-processing, and feature engineering to build relevant models to conduct meaningful analysis; • Iterating with key stakeholders to perform subsequent deep dives based on initial insights and further refine analyses; • Driving and supporting PUB’s AI implementation and governance efforts; • Depending on the use case, designing dashboards and interactive visualisations as tools for data exploration and storytelling; and • Performing centre of excellence functions by conducting sharing workshops and seminars for PUB officers to support the advancement of PUB’s data culture.

• A Bachelor’s Degree or higher in Data Science, Computer Science, Statistics, Economics, Quantitative Social Science, Engineering, or related disciplines. Relevant training/certifications (e.g. Udemy, Coursera) may also be considered • At least 1-2 years of relevant experience, either in data science and/or the quantitative analytical work • Understand key concepts, techniques, and considerations in statistics, machine learning and data analytics • Have strong analytical, conceptualisation, and problem-solving skills. Able to take broad, strategic perspectives, and when necessary, drill deep to understand business needs and challenges. • Have strong oral and written communication skills, along with the ability to pitch ideas and influence stakeholders at all levels on the adoption of analytics. Able to present technical concepts and results of technical analyses to non-technical audience effectively. • Passionate about improving public service using analytics and data. • Self-driven and committed individual able to work independently and within teams