Intern, Digital & Technology (Data & AI) (Data Science) (Off-cycle Jan - Jun 2027)
CapitaLand Investment Open At a glance
Junior Data Science role at CapitaLand Investment. Singapore, East Singapore · full-time.
Pay not stated Data Science salary
dataroles summary, based on the employer's posting.
What you'll do
- Help build AI prototypes and AI/BI solutions for defined business problems
- Prepare datasets with Python and SQL, then check their quality with team guidance
- Test AI agents and GenAI workflows, assessing results against performance, risk and business-fit measures
- Create dashboards, data visualisations and reports that help business users act on insights
- Support testing, issue reviews, documentation and improvements, plus scoped deployment and governance work
What you bring
- You are studying toward a degree in a listed computing, data or analytics discipline, or a related field
- You have basic Python programming ability and can work with SQL and data
- You understand machine learning and model lifecycles, along with GenAI or LLM concepts from study or independent projects
- You can commit to the six-month internship
Who this fits
This junior internship suits a student who can take ownership of defined tasks with guidance and is keen to learn and test new AI/BI tools. The role is in Singapore and runs from January to June 2027.
From the employer
About Us
Headquartered and listed in Singapore in 2021, CapitaLand Investment Limited (CLI) is a leading global real asset manager with a strong Asia foothold. As of 5 November 2025, CLI had S$120 billion of funds under management. CLI holds stakes in eight listed real estate investment trusts and a suite of private real asset vehicles that invest in demographics, disruption and digitalisation-theme strategies. Its diversified real asset classes include retail, office, lodging, industrial, logistics, business parks, wellness, self-storage, data centres and private credit.
Job Description
Responsibilities
- Support the development of AI prototypes and AI/BI solutions for clearly defined business use cases.
- Assist in building and testing AI agents, GenAI workflows, prompt logic, and related solution components.
- Explore, prepare, and validate datasets using Python and SQL, with guidance from the team.
- Evaluate model and solution outputs against defined performance, risk, and business-fit criteria, and document findings.
- Support dashboards, semantic models, data visualisations, and reporting that provide actionable insights to business users.
- Participate in testing, issue investigation, product documentation, and iterative improvements.
- Work with the team on deployment, monitoring, security, compliance, and governance activities appropriate to the assigned scope.
- Perform any other ad-hoc duties as assigned.
Requirements
- Currently pursuing a Degree in Computer Science, Data Science, Artificial Intelligence, Software or Computer Engineering, Information Systems, Business Analytics, or any other related disciplines.
- Foundational programming skills in Python and working knowledge of SQL and data handling.
- Familiarity with machine learning concepts, the model lifecycle, and GenAI/LLM concepts through coursework, projects, or self-learning.
- Exposure to Databricks, cloud platforms such as Microsoft Azure, data pipelines, ML workflows, or BI tools is an advantage.
- Able to apply analytical thinking to a defined problem and take ownership of scoped work with guidance.
- Able to commit to a 6-month internship.
- Eager to learn, experiment, and work with new AI/BI tools.
- Good written and verbal communication skills, with the ability to work effectively with team members and business users.
- Detail-oriented and organised, with the ability to manage assigned tasks and timelines.
- Proactive and responsible, with a willingness to seek guidance and incorporate feedback.
Closing Statement:
At CapitaLand, we advocate fair employment practices, and recruit talents based on merit and fit with our Corporate values. We provide equal opportunity for all qualified persons and build an inclusive workplace regardless of race, gender, age, religious belief or nationality.
Only shortlisted candidates will be notified.
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