#PPPintern (Service Transformation Analytics), Jan to Jun 2027 jobs in Public Service Division (Singapore) - Maukerja

What The Role Is

The Public Service Division (PSD) aims to build a first-class Public Service for a successful and vibrant Singapore. We do this through public sector leadership development, capacity and capability building and the promotion of quality services at all levels of the Public Service. We are looking for outstanding candidates with the vision and passion to contribute to help shape Singapore.

ServiceSG aims to transform the service experience for citizens receiving public services. Our ambition is to transform citizen’s experience of public services from one of having to navigate across different functional agencies to get things done, to an integrated, personalised and seamless one where the public service “Knows and Serve you as one, and with Heart”.

We work with different agencies across the public service to integrate over 600 services around key moments of life of citizens. Our central omni-channel service delivery system currently comprises a digital platform (“LifeSG”), a network of physical ServiceSG centres and a central contact centre. We are working to join the dots between the government systems and processes to make citizens’ experience smooth, whether online, on the phone, or at our centres.

[ The Challenge ]

ServiceSG aims to transform the service experience for citizens receiving public services. We work with different agencies across the public service to integrate over 600 services around key moments of life of citizens. Our central omni-channel service delivery system currently comprises a digital platform (“LifeSG”), a network of physical ServiceSG centres and a central contact centre.

What You Will Be Working On

[ Learning Areas]

You will join the ServiceSG Insights Practice team to turn real-world citizen and service data into actionable recommendations to create a more seamless, personalised, and proactive citizen experience with the Government. Working on analytical projects, you will identify patterns across citizen archetypes' end-to-end journey and develop clear recommendations for service, process and policy improvements.

• AI-Assisted Service Analytics and Insight Generation
• Explore structured and unstructured data from appeals, hotlines, service centres, feedback and digital channels to answer ad hoc business questions and uncover citizen needs.
• Use statistical methods, text analytics and AI tools to cluster, classify and summarise large datasets.
• Learn to design analytical lenses and categories, test model outputs, and apply human review, sampling and triangulation.
• Data Preparation, Automation and Engineering Foundations
• Support the cleaning, joining and transformation of datasets for analysis.
• Apply practical data-engineering habits such as clear documentation, modular scripts and reusable data structures.
• Build an understanding of reliable data pipelines and analysis-ready datasets.
• Visualisation, Storytelling and Service Impact
• Create dashboards and visualisations that make complex findings easy for non-technical stakeholders.
• Translate analysis into concise narratives, decision-ready presentations and practical recommendations.
  
  

What We Are Looking For

• Able to commit for the full internship duration period from January 2027 to June 2027, 6 months, full-time. Please indicate your availability in your resume/CV for the team's consideration.
• Can create dashboards using Tableau or similar tools.
• Can evaluate the accuracy and relevance of data sources and maintain a balanced view when analysing issues and recommending solutions.
• Comfortable with synthesising multiple datasets and making propositions.
• Can translate business queries into actionable lines of inquiry, conduct research and analysis, and jointly refine insights and recommendations.
• Comfortable presenting to senior stakeholders to spur action.
• Capable of using modern programming languages (e.g. Python and R), analytical tools (e.g. Tableau), and statistical and AI techniques (e.g. clustering and large language models) to identify areas for deeper analysis.
• Understanding of omnichannel service design principles, including the customer service journey.