Overview
Join our AI & Automation Centre of Excellence and play a hands-on role in bringing real-world AI solutions to life. As an intern, you’ll work with a multidisciplinary team to explore, design, and rollout practical AI and automation use cases across sectors such as real estate, maritime operations, and data centres.
What You'll Get Out of This Internship
- Exposure to end-to-end AI product development in a corporate environment
- Practical experience turning business needs into technical solutions
- Mentorship from AI specialists, product leads, and digital transformation experts
- Opportunities to build portfolio-ready documentation, analysis, and prototypes
- Insight into how large organisations evaluate, adopt, and scale AI tools
Key Responsibilities
- Support the full product cycle by gathering requirements and helping shape AI feature scopes
- Run user interviews and map current workflows to identify automation opportunities
- Analyse datasets and processes to uncover actionable insights
- Translate business needs into clear user stories and functional documentation
- Assist with testing, validating, and refining AI tools before rollout
- Compile user feedback and help prepare demo materials for stakeholders
- Research new AI technologies, summarise findings, and develop presentation decks
- Contribute to ongoing team projects and ad-hoc initiatives where needed
Requirements
- Currently studying AI, Business, Information Systems, Data Analytics, or a related field
- Able to commit for 4–6 months
- Comfortable analysing data and communicating ideas clearly
- Strong interest in AI, automation, and solving real operational challenges
- Open-minded, adaptable, and willing to learn quickly
- Bonus: familiarity with Azure, AWS, Power BI, Python, or similar AI tools
Who This Internship Is Ideal For
Perfect for students who enjoy experimenting with AI tools, asking good questions, and helping turn ideas into working solutions.
Internship Details
Location: Singapore
Duration: 4–6 months
Commitment: Full-time
Working Arrangement: Hybrid / Onsite (depending on team schedule)
Stipend: Provided (based on company policy)
Application Deadline: Open until filled
