Intern, MSD (Service Quality) (Summer 2027)

Who we are. Pioneering workers' rights since 1961, the National Trades Union Congress (NTUC) unites 59 trade unions, seven trade associations, 12 social enterprises, and other enterprise partners as we create better lives for workers here in Singapore. Our work cuts across the different ages and stages of life as we walk the ground and respond to everyday needs. Through initiatives that protect our workers at work, transform careers, manage the cost of living, help with financial resilience and health, and nurture relationships for families, we champion every worker through every touch point as we work towards better wages, welfare, and work prospects. Because Every Worker Matters. Role Overview: The Intern will support the exploration and application of AI in quantitative and qualitative research. The role involves using AI tools to automate survey analysis, code open-ended responses, generate insights, and develop reusable prompts and research guidelines. The intern will also conduct research on emerging analytics tools, response rate improvement strategies, and data storytelling approaches to enhance research effectiveness and reporting. This internship offers hands-on exposure to AI-driven research, data analysis, and insight generation in a real-world environment. Key Responsibilities: Design AI prompts to: Code Survey Data automatically Generate significance-tested tables Run correlation and segment analyses Create reusable prompt templates for repeat use Explore analytic tools for dashboard & visualization Build guideline for AI-driven quant research Research on how to increase response rate for research study Research on tools that research companies are using Use AI to perform: Thematic Coding & Sentiment Analysis Identify pain points and key insights Generate Summaries and Thematic Maps Develop prompt templates for consistent analysis Compare AI vs manual coding for accuracy and efficiency Research on story telling templates for presentation Research on tools that research companies are using Candidate Profile Strong analytical foundation to support survey data preparation and analysis, including coding responses, basic segmentation, correlations, and result interpretation. Hands-on interest in applying AI and analytics tools to automate research tasks such as table generation, open-text coding, summarisation, and prompt design. Ability to analyse open-ended feedback and interview transcripts, identify key themes and sentiment, and distil findings into clear insights. Comfortable translating data and findings into simple visuals, summaries, and structured outputs to support reporting and presentations. Background in relevant fields of study such as Business Analytics, Data Science, Information Systems, Psychology, Sociology, Communications, or related quantitative / social science disciplines. We regret to inform that only shortlisted candidates will be contacted.