Uni Internship Jan to July 2027 - Advanced Data Science and AI Innovations Internship
Date: 6 Jul 2026
Location: SG
Company: Synapxe
Join Synapxe as an intern and see how you can contribute in powering a healthier Singapore. Internship@Synapxe is where curiosity meets impact! You would be able to gain practical experience, hone your skills, and be part of meaningful work that improves health through technology!
As an intern you will join the Data Science & AI team in exploring the latest advancements in Generative AI (GenAI), Machine Learning (ML), NLP, Knowledge Graphs, Agentic AI, and Computer Vision. Interns will gain hands-on experience developing, deploying, and evaluating AI solutions for real-world healthcare and enterprise applications. Through close collaboration with experienced professionals, interns will contribute to innovative projects involving predictive modeling, intelligent data exploration, application development, and AI-powered automation within cloud environments.
The selected intern(s) will assist in the following:
- Conduct research and exploration of emerging technologies in Generative AI (GenAI), Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision, and related domains
- Support the design, development, testing, and deployment of AI and data science solutions for real-world business and healthcare use cases
- Participate in the development and enhancement of machine learning models, intelligent applications, APIs, data pipelines, and automation workflows
- Assist in integrating AI capabilities, including LLMs, knowledge graphs, and agentic AI frameworks, into existing systems and platforms
- Contribute to solution evaluation, performance optimization, technical documentation, and proof-of-concept development within cloud-based environments
- Collaborate with cross-functional teams to identify opportunities for innovation and improve operational efficiency through AI-driven solutions
About You:
- Undergraduate currently in Year 2 or Year 3, pursuing a degree in Business Analytics, Business Artificial Intelligence Systems, Information Systems, Computer Science, Computer Engineering, Data Science, or a related discipline
- Proficiency in Python programming and strong coding fundamentals
- Strong interest in data science and analytics, with a passion for solving real-world problems using data
- Fast learner with a proactive mindset, and willingness to pick up new tools and technologies
- Independent, fast-learner, and self-driven
- 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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