Top Data Jobs in Singapore

Lead a unified data and experimentation framework across the company, engaging with core business lines to support data-driven decision-making, while ensuring data quality and governance.

The intern will manage data in an e-catalogue focusing on vehicle data, conduct business analysis using Power BI, and assist with customer support and process improvements.

The role involves data analysis to support HR decisions, establishing KPIs, creating reports, and improving HR processes with a focus on data-driven insights.

The Data Scientist will identify new data sets, build processes for data collection, analyze data for potential applications, and research alpha signals for portfolio managers.

The Data Analyst will analyze financial datasets, create data pipelines, engage with vendors, automate data checks, and support investment teams.

The Data Engineer 2 will design, develop, and maintain data pipelines, frameworks, and models, ensuring data quality and governance while collaborating with scientists and analysts.

The Vice President of Investment will evaluate investment opportunities, structure transactions, manage due diligence, and collaborate with advisors while supporting asset management initiatives.

The Executive in CRM, Data Analytics & Customer Experience supports customer engagement initiatives through managing CRM programs, customer feedback, and performance analytics to enhance satisfaction and loyalty.

Lead the development and deployment of Generative AI applications, collaborate with teams to deliver business use cases, and enhance data science skills.

The Specialist in Data Analytics will analyze data to provide insights for business decisions, create reports, and collaborate on digital strategies to enhance APAC's eCommerce ecosystem.

The Network Technology Sales Specialist engages with clients, identifies opportunities, presents solutions, manages sales processes, and fosters relationships with senior executives to drive growth for NTT DATA.

The role involves analyzing datasets, developing dashboards, building data pipelines, and collaborating with teams to translate findings into business strategies.

Conduct data analysis and machine learning to improve account safety on WeChat, track fraudulent accounts, and detect anomalies.

Support market intelligence by collating, cleaning, and automating competitor and market datasets. Build Python data pipelines, maintain dashboards (Power BI/Excel), assist competitive analysis, explore AI-assisted workflows, and coordinate cross-functionally to ensure data quality and reproducibility.

Lead Group Market Data category and IT software strategic sourcing: establish governance, optimise spend and licensing, drive sourcing strategies, negotiate complex vendor contracts, manage vendor relationships, and partner with Technology, Risk, Finance and business stakeholders to deliver compliant, cost-effective outcomes.

Prepare month-end closes, forecasts, variance analysis, account reconciliations and profitability reviews. Provide insights and recommendations, support budgeting, analyze project and departmental costs, and identify cost-management opportunities for international operations.

Design, build and test prototypes using emerging technologies (AI/GenAI, autonomous agents, multimodal AI, quantum). Collaborate with product, design, and engineering teams to iterate, showcase proofs-of-concept, and drive adoption across the bank while researching frontier tech and enabling rapid experimentation.

Lead strategic foresight and innovation intelligence: research emerging trends, generate actionable insights, build and run sensing communities, engage external ecosystem, and present recommendations to senior leadership to inform DBS's innovation strategy.

Design and develop cloud-native, reusable AI and data products for Singapore government projects. Prototype, implement, and validate ML algorithms (CV, NLP, recommender, synthetic AI), build microservices, deploy to cloud and edge (mobile/IoT), assess AI maturity, collaborate with research and industry partners, document and transfer technology, and support product lifecycle and operationalisation.

Senior individual contributor leading global commercial risk and insurance programs. Performs risk identification, advanced analysis, mitigation strategy design, insurance placements and claims oversight. Partners with Legal, Finance, Operations and external brokers, mentors junior staff, delivers training, and supports crisis response and enterprise risk decision-making.

Lead modernization of actuarial reporting through automation, process redesign, enhanced analytics and AI. Manage PACS/FFP+ projects, define actuarial AI roadmap, deliver pilots and scaled solutions, and coordinate cross-functional stakeholders to improve reporting efficiency, controls, and actionable insights.

Lead transformation of actuarial processes through automation, analytics, and AI. Identify use cases, define requirements, support solutioning, testing and UAT. Manage actuarial data and build reusable analytics pipelines for persistency and claims, improving data quality, lineage and reporting. Support AI pilot delivery and scaling for actuarial reporting and MI.

This role focuses on driving enterprise data governance, including policies, training, AI governance, and collaboration with technology teams to implement data management practices.

As a Senior Associate Client Manager, you will manage client relationships, drive expansion and renewals, and ensure satisfaction through effective communication and sales strategies using Salesforce.com and other tools.

The intern will support APAC growth initiatives, analyze data with Python/R and SQL, and design BI dashboards using Power BI, while assisting in program management tasks.