This role involves working with business analysts and data engineers to identify problems, propose analytics solutions, and integrate data for the enterprise platform. The individual will develop and deploy machine learning/deep learning models, create dashboards, and design and build Generative AI applications to innovate and drive impactful solutions within the company.
About the role
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 at 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:
Work with business analysts and internal stakeholders to identify business problems and opportunities propose analytics solutions, as well as data and technology requirements, and formalize them into a project Analytics solutions which include, but are not limited to report automation, advanced analytics, and AI engines
Work with data engineers to plan, identify, and integrate data from multiple source systems to enterprise data platform for analytics purposes
Perform data exploration, preprocess, and analyse the 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 and prioritise projects according to objectives and 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
Requirements:
Bachelor's or master's degree in Data Science, Statistics, Computer Science, Computer Engineering or equivalent disciplines that focused on extensive use of data for analysis
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 visualization software such as Power BI or Tableau
Good collaboration and communication skills to work effectively across teams and partner with business stakeholders
Beneficial to possess knowledge or practical experience in generative AI or developing LLM applications using the Microsoft Azure stack or third-party packages such as LangChain.
Benefits
Comprehensive medical coverage
Training and development opportunities
Subsidised rates at Ascott serviced residences
Strong advocate of staff volunteerism
Wellness programmes
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.