Uni Internship Jan to May 2026 - Data and AI at Jurong Health Campus

Synapxe is the national HealthTech agency inspiring tomorrow’s health. The nexus of HealthTech, we connect people and systems to power a healthier Singapore. Together with partners, we create intelligent technological solutions to improve the health of millions of people every day, everywhere.
 
Are you someone who enjoys problem solving, has a creative and curious mind, and strives to create a better and healthier tomorrow? If you say yes to all, do check out our website and find out more about Internship@Synapxe.
 
Join Synapxe as an intern and see how you can contribute in powering a healthier Singapore. We aim to deliver the best experience for all interns, to create exponential growth and paving your future in the tech industry.

As a Data Analytics Intern, you will work closely with user champions to understand business pain points, perform analytics, and focus on Operations Research (OR) and Large Language Models (LLMs) development to solve the business challenges. This internship will provide students with hands-on experience in analyzing data, solutioning and developing Minimum Viable Products (MVPs), and refining the prototypes in a collaborative environment.

Key Responsibilities include but not limited to: 

• Collaborate with user champions to finalize the problem statement. 
• Conduct data analysis to uncover insights and trends that inform decision-making. 
• Develop and implement LLM models to address specific business needs. 
• Test and refine prototypes of MVPs based on user feedback and analytics. 
• Present findings and recommendations to stakeholders clearly and actionably. 
• Participate in team meetings and contribute to the overall success of the project.
  
  

About you:

• Be pursuing a Bachelor Degree in Business Analytics, Computer Science, Computer Engineering, Electrical and Electronic Engineering, Information Systems or related field
• Graduating in May/Dec 2026 or May 2027
• Strong analytical skills and experience with data analysis tools (e.g., Python, R, SQL)
• Strong and interested on exploring solution related to Operations Research (OR) and process optimization
• Familiar with machine learning concepts and LLM development
• Good team player with strong analytical and communication skills
• Ability to multitask and work effectively as part of a multidisciplinary team
• Passionate and keen to make a difference to re-imagine the future of HealthTech

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