Intern, Digital & Technology (Data & AI)… at Capitaland · Singapore

Intern, Digital & Technology (Data & AI) (Data Science) (Off-cycle Jul - Dec 2026) Location: Singapore, East Singapore 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 Collaborate with business analysts and internal stakeholders toidentifybusiness problems and opportunities Propose analytics solutions along with the necessary data and technologyrequirements, andformalize these into actionable projects. Analytics solutions may include, but are not limited to:Report automation, Advanced analytics & AI-driven engines Work withDataEngineers to plan,identify, and integrate data from multiple source systems to enterprise dataplatformfor analytics purposes Perform data exploration, preprocess, andanalysethe data (both structured and unstructured); develop and deploy machine learning/deep learning models Create dashboards to communicate and present key findings to stakeholders, and manage UAT Work with the team to run andprioritiseprojects according toobjectivesand business impact Design and build Generative AI applications like GPT-enabled chatbots to innovate and drive impactful solutions in the company Explore new methodologies for increasing the efficiency and effectiveness of Generative AI applications Continuously evaluate and enhance the performance of Generative AI models through rigorous testing and experimentation Perform other ad-hoc duties as assigned Requirement Currently pursuing aBachelor’s Degree in Computer Science, Information Technology,or other relateddisciplines Strong programming experience using python or spark, with solid understanding of data science concepts Practical knowledge in statistical and machine learning techniques including Regression, Random Forest, Boosting, Trees, Text Mining, Network Analysis,etc Practical knowledge in deep learning techniques including computer version, NLP,etc Experience in data visualizationSoftwaresuch as Power BI or Tableau Beneficial topossessknowledge or practical experience in generative AI or developing LLM applications using the MicrosoftAzure stack or third-party packages such asLangChain 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.