{"id":1380221,"url":"https://alion.io/job/capitaland-intern-digital-technology-data-ai-data-science-off-cycle-jan-jun-2027","title":"Intern, Digital & Technology (Data & AI) (Data Science) (Off-cycle Jan - Jun 2027)","company":{"id":4451,"name":"CapitaLand","domain":"capitaland.com","url":"https://alion.io/company/capitaland","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":71,"open_postings":143,"ghost_share":0.476,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":37,"computed_at":"2026-11-05T05:54:30Z"}},"role":"Early Careers","role_family":"Early Careers","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":38000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":8},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-28T08:10:52Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-11-05T18:12:30Z","board_verified":true,"closed_at":null,"days_open":38,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":37},"description":"About Us\nHeadquartered 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.\nJob Description\nResponsibilities\nSupport the development of AI prototypes and AI/BI solutions for clearly defined business use cases. \nAssist in building and testing AI agents, GenAI workflows, prompt logic, and related solution components. \nExplore, prepare, and validate datasets using Python and SQL, with guidance from the team.\nEvaluate model and solution outputs against defined performance, risk, and business-fit criteria, and document findings. \nSupport dashboards, semantic models, data visualisations, and reporting that provide actionable insights to business users. \nParticipate in testing, issue investigation, product documentation, and iterative improvements. \nWork with the team on deployment, monitoring, security, compliance, and governance activities appropriate to the assigned scope.\nPerform any other ad-hoc duties as assigned.\nRequirements\nCurrently pursuing a Degree in Computer Science, Data Science, Artificial Intelligence, Software or Computer Engineering, Information Systems, Business Analytics, or any other related disciplines. \nFoundational programming skills in Python and working knowledge of SQL and data handling. \nFamiliarity with machine learning concepts, the model lifecycle, and GenAI/LLM concepts through coursework, projects, or self-learning. \nExposure to Databricks, cloud platforms such as Microsoft Azure, data pipelines, ML workflows, or BI tools is an advantage. \nAble to apply analytical thinking to a defined problem and take ownership of scoped work with guidance. \nAble to commit to a 6-month internship. \nEager to learn, experiment, and work with new AI/BI tools. \nGood written and verbal communication skills, with the ability to work effectively with team members and business users. \nDetail-oriented and organised, with the ability to manage assigned tasks and timelines. \nProactive and responsible, with a willingness to seek guidance and incorporate feedback.\nClosing Statement:\nAt CapitaLand, we advocate fair employment practices, and recruit talents based on merit and fit with our Corporate values. 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