Intern, Membership Services Division (Service Quality)

Who we arePioneering 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. Key ResponsibilitiesDesign AI prompts to code survey data automatically, generate significance-tested tables and run correlation and segment analysesUse AI to perform: Thematic coding & sentiment analysis and identify pain points and key insights and generate summaries and thematic mapsDevelop prompt templates for consistent analysisCreate reusable prompt templates for repeat useCompare AI vs manual coding for accuracy and efficiencyResearch on story telling templates for presentationExplore analytic tools for dashboard & visualisationBuild guideline for AI-driven quant researchResearch on how to increase response rate for research studyResearch on tools that research companies are using Candidate ProfileStrong 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.