Support client onboarding, subscription management, and user feedback collection Analyze product metrics (usage patterns, conversion rates) and create dashboards for OKR tracking
Prepare product demo materials, pitch decks, and business development documentation
Monitor industry trends in legal AI and market expansion
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Provide planning, development, and implementation of key activities and initiatives aimed at building up the national donor pool as well as maintaining and growing our pool of dedicated volunteers.
Working in close partnership with key stakeholders from Blood Services Group (BSG) and Singapore Red Cross (SRC), the incumbent will engage educational institutions, corporate, government, and community organisations to educate, recruit, retain, and recognise blood donors while supporting in organising community blood drives and group donations to build the national blood supply.
In addition, she/he will recruit, mobilise and engage eligible volunteers to support relevant public education (outreach activities such as roadshows, learning journeys etc.), donor engagement, tele-recruitment, and blood-donation-related activities.
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Are a candidate or graduate with a legal background (LLB, JD, or equivalent) and a strong interest in policy and legal research in the digital economy, sustainability, trade and supply chain space
Demonstrated research skills required, with experience in policy and/or legal research (academic or applied); ability to read and analyse statutory and regulatory texts; structured analytical writing
Have previous work experience (could be internship, summer job, or other experiences) in a bank, professional services organisation, law office, or anywhere along the supply chain (factory, port, etc.) would be an asset
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Identify process improvement opportunities through data-driven insights and recommend actionable solutions
Contribute to the development of predictive models for demand forecasting and procurement planning
Undergraduate currently in Year 2 or Year 3, pursuing in Applied Artificial Intelligence, Business Analytics, Computer Engineering, Computer Science, Data Science, Information Systems, or related discipline
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Support data ingestion, modelling, and visualisation development.
Collaborate with stakeholders and the CIO’s Office to align outputs with business needs.
Undergraduate currently in Year 2 or Year 3, pursuing a degree in Business Artificial Intelligence Systems, Data Analytics, Information Systems, Computer Science, Computer Engineering, Industrial & Systems Engineering, Information Engineering & Media, or a related discipline
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