Top Data Jobs in Singapore

Summer internship applying data science, AI, software engineering, analytics, and automation to manufacturing and business problems. Interns analyze datasets, build dashboards/reports, develop automation or software solutions, and present findings to improve operational efficiency and support digital transformation.

Design, build, test, deploy, and maintain scalable, resilient cloud-based data pipelines and microservices (primarily on AWS). Implement ETL/ELT, data lake/warehouse solutions, support analytics integration, enforce data quality, and follow Agile DevOps practices with CI/CD and IaC.

Act as primary contact for exchanges and market-data vendors, support licensing, ensure compliant data usage, coordinate audits, translate contract terms into operational requirements, and collaborate with technology, legal, and sourcing teams to maintain licensing coverage.

Designs and delivers data architecture solutions, creates secure production code, evaluates technologies, guides architecture governance, and applies AI-assisted practices to improve data frameworks, resiliency, and security.

Work with platform users, analysts and data engineers to design, test and document data models, pipelines and BI solutions. Implement data validation, reconciliations and controls, support ad-hoc analysis and external financial reporting to maintain a scalable, reliable data platform.

Design and deploy real-time ML models and credit risk frameworks to detect fraud and assess merchant lending risk. Translate business needs into scalable analytics, monitoring, and decision-support tools. Partner with product, engineering, and operations to productionize models and improve risk visibility and decision quality.

Manage privacy operations including data subject rights (DSR) intake and responses, PIAs/DPIAs, RoPA/data inventories, vendor privacy reviews, privacy tooling, metrics, and incident support to maintain global privacy program compliance.

Serve as ASOs single front door for Operations demands across Asia, translating business needs into prioritized initiatives, managing demand pipeline, shaping improvement using AI/data/APIs, and coordinating stakeholders to deliver operational efficiency, compliance, and value realization.

Lead the development of AI/ML solutions for production planning and agentic systems, mentor junior data scientists, and optimize performance and efficiency of systems.

As an intern, apply data analytics and machine learning to analyze semiconductor data, build models, and communicate insights to teams.

Lead technical strategy for payments optimization to balance conversion, fraud risk, and cost. Design and implement advanced optimization algorithms, guide experimentation and causal inference, collaborate with product and engineering to deploy ML systems at scale, influence product strategy, and mentor junior data scientists.

Lead architecture of a governed, reusable data, knowledge, and skills platform on Databricks to power analytics, AI agents, and real-time decisioning. Design data, semantic, and skills layers, enforce Governance-as-Code, enable regional data residency, and build agent interfaces and APIs while partnering with Data Science, Product, and Risk teams.

Lead architecture, development, and operation of Airwallex's data and AI platforms. Drive company-wide data platform solutions, build scalable multi-region pipelines, enforce governance and security, mentor the team, advocate best practices, and influence technical roadmaps to enable AI/ML-driven business impact.

Lead the Realtime Data Platform team to define a 1–3 year technical roadmap, modernize the core platform for petabyte-scale real-time analytics, partner with product teams to enable data-driven features, scale and structure engineering teams, and serve as a trusted technical advisor across Data and AI initiatives.

Design and build scalable batch and streaming ETL pipelines and data models, collaborate with stakeholders to translate data needs, ensure data quality and governance, and own end-to-end delivery for Knowledge Platform initiatives in Singapore.

Lead architecture, development, and operation of Airwallex's data and AI platforms. Drive company-wide data platform strategy, build scalable multi-region data pipelines, promote best practices, mentor engineers, and enable data-driven decision making and AI readiness across the organization.

Design and build scalable batch and streaming ETL pipelines and data models. Partner with engineers and business stakeholders to deliver reliable SSOT data, ensure data quality, governance, and support ML/AI use cases. Own end-to-end pipeline design, monitoring, and ongoing improvements.

Build and deploy end-to-end machine learning solutions for payment and fraud risk: translate business needs into ML problems, perform data and feature engineering, train and deploy models, analyze issues, develop ML platforms/tools, and collaborate cross-functionally to deliver business impact.

Partner with Product and Engineering to analyze large datasets, run experiments, and apply statistical methods to measure product performance, identify growth opportunities, set goals and forecasts, and drive product strategy through data-driven recommendations.

Support the Business Development team by preparing market strategy reports and statistical analyses, building Qlik or Excel dashboards, and evaluating investment opportunities. Deliver accurate, efficient data-driven insights to inform BD strategies.

Perform high-level video captioning, action-based timeline segmentation, and visually-verifiable action labeling. Review and correct AI-generated captions, meet accuracy benchmarks, follow strict guidelines, and complete certification.

Manage commercial aspects for DayOne's global data-centre customers: pricing, contract negotiation and risk assessment, deal committee approvals, sales support, forecasting, churn/renewal reviews, costing analysis, process improvements, and digitizing quotation workflows.

Lead HQ external affairs across multiple markets: stakeholder mapping, multi-market policy intelligence, government and institutional engagement, cross-market projects, corporate positioning, CSR oversight, issue monitoring, and internal alignment for public-sector initiatives.

Lead design and delivery of Power BI dashboards, datasets, and semantic models; build and maintain data pipelines with Microsoft Fabric; manage enterprise data lake/warehouse architecture; ensure data quality, governance, security, and performance; partner with stakeholders to define KPIs and reporting requirements.

Support administration and continuous improvement of the EHS Management System: maintain documentation and records, manage SharePoint and digital EHS platforms, collect and analyze safety data, build dashboards, prepare EHS reports and communications, and assist with audits and EHS improvements.