Data & AI Office Intern

The Data & AI Office (DAO) at Civil Service College strives to build an eco-system to systematically support CSC’s transformation and business needs to achieve real-world impact, through the informed and ethical use of data. We are seeking a motivated intern to join our Data Science & Artificial Intelligence (DSAI) team, where he/she will be exposed to key projects across the data life cycle. This position offers an excellent opportunity to gain hands-on and valuable applied experience, using data to achieve real-world impact for the Public Service.

• Collaborate with analysts and engage with key stakeholders to scope out analytical needs and data engineering needs across varied data-related consultancy projects. • Assist in data processing, identify data quality gaps and provide recommendations to improve the upstream data collection for the purpose of data quality. • Assist in the studying of data schemas across College’s diverse data sources and Single Sources of Truths (SSOTs) to develop core data sets that power College’s data products. • Assist in the building of College-wide data products (e.g. RShiny applications, Tableau dashboards etc.) based on a set of business informed requirements, and participate in the operationalisation/roll-out of these data products, including the conduct of briefings/workshops/clinics. • Perform independent research, with the ability to translate theoretical frameworks into practical applications with real-world impact across multiple areas of practice (e.g. Learning Analytics, Customer Analytics, Demand Sensing & Forecasting etc.). • Translate key findings into actionable insights and present them to a range of audiences (both technical and non-technical) both orally and in writing. • Assist in general data matters across the data life cycle – data collection, ingestion, storage, extraction, transformation, analysis, and visualization. • Assist in general matters such as account management for data products, design of EDMs for engagement, development and conduct of initiatives to build Data Culture, amongst others.

• Basic to intermediate proficiency in at least one programming language (e.g. R, Python), with sound understanding and ability to apply both quantitative and qualitative methods. • Basic to intermediate proficiency in at least one data visualisation software (e.g. Tableau), with sound understanding of human factors / UX / UI principles. • Basic to intermediate proficiency in both research and experimental designs. • Ability to understand data schemas / entity relationship diagrams and propose transformation logics (e.g. joins) based on key business requirements. • Ability to think independently, with clarity, and articulate to a range of audiences. • Ability to learn on the go and adapt quickly to new challenges in a fast-moving environment. • Keeps updated on the latest development in the Data Science and Artificial Intelligence space. • Knowledge and experience with Natural Language Processing & LLMs will be preferred.