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Data Science Internship - Temasek International Pte Ltd

Temasek International Pte Ltd•Singapore
Contractfresher
👁️ 0 views•📝 0 applications•Posted 9/24/2026•Expires 10/24/2026
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Job Description

Temasek is a global investment company headquartered in Singapore, with a net portfolio value of S$518 billion (US$401b, €350b, £304b, RMB2.77t) as at 31 March 2026. Our Purpose So Every Generation Prospers guides us to make a difference for today's and future generations. We seek to build a resilient and forward-looking portfolio that will deliver good sustainable returns over the long term. We have 13 offices in 9 countries around the world: Beijing, Hanoi, Mumbai, Shanghai, Shenzhen, and Singapore in Asia; and Brussels, London, Mexico City, New York, Paris, San Francisco, and Washington, DC outside Asia. For more information on Temasek, please visit www.temasek.com.sg For Temasek Review 2026, please visit www.temasekreview.com.sg For Sustainability Report 2026, please visit www.temasek.com.sg/SR2026 Introduction The O&P Operations (O&P Ops) team is a key pillar of the O&P function, playing a vital role to ensure compliance with global employment regulations. Collaborating strongly within Temasek and with service providers, we are responsible for critical HR service delivery in payroll, employee tax, employee life cycle, compliance and people technology. The O&P Ops team actively identifies opportunities for process optimisation and automation, to drive for continuous improvement and execution excellence. You will be a member of the Group People Technology team to roll out Digital solutions such as RPA, Power Automate, SaaS solutions, dashboards/analytics, and to drive technology transformation within the Organisation & People function. Outstanding final year students may receive a contract job offer. Responsibilities Data Analyst • Build new AI/ML use case to improve productivity and efficiency • Use data analytics to explore, innovate and provide insights • Data Ingestion in Data lake • Data Governance - Tracks and monitors data quality, maintains the Data dictionary • Research and use data to support design and streamline of HR processes • Supports Reporting & Analytics • Management, regulatory reporting, dashboards & HR data analytics Business Analyst • Participate in requirement gathering and testing during system implementation and deployment • Build new RPA, Power Automate use cases for process efficiency The incumbent will be able to gain the following competencies: • Working knowledge of a SaaS SAP SuccessFactors human capital management system • Experience of working in Agile delivery • Experience in Robotic process Automation (RPA), Power Automate • Experience in working with SaaS data cloud such as Snowflakes • Gain knowledge in driving process alignment, elicit user requirements, process documentation, testing and deployment of SaaS HRMS and other HR related system. Requirements • Good analytical skills, details oriented and experience in maintaining and updating databases, working with extensive datasets • Currently pursuing a degree or major in Computer Science, Data Science or similar discipline • IT skills (Python, R, Excel VBA, SQL) and conversant with the use of search engines and databases, web scraping • Good communication skills • Meticulous and diligent in creating, maintaining and updating the reports and dashboards on a timely basis. • Strong co-ordination and organization skills. • Highly professional and discreet, able to maintain confidentiality on projects and HR information Interpersonal Skills: • A team player with pleasant disposition. • Ability to work well with people within and outside the team, and across the organizational hierarchy. Willing to lend a hand in helping fellow teammates where required. • A self-starter with the ability to multi-task. • Curiosity with the interest, open-minded and willingness to learn. • Diligent and take ownership of the team's projects and responsibilities.

Required Skills

PythonRExcel VBASQLWeb scrapingDatabasesRPAPower AutomateSAP SuccessFactorsAgileSnowflakeData lakeData governanceAI/MLReportingDashboardsHR analyticsRequirement gatheringTestingProcess documentationDeployment

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