Top Data Jobs in Singapore

The Data Scientist will support analytics projects, collaborate on predictive solutions, and assist in deploying machine learning models while engaging stakeholders across GlobalFoundries.

As a Transformation Consultant, you'll lead strategic projects, engage with clients, identify business opportunities, and support sales to enhance organizational capabilities.

Lead a pod of data engineers to design, build, and maintain scalable finance and non-finance data pipelines. Own roadmap, backlog, sprint planning, and delivery milestones; ensure pipeline reliability, data quality, and architecture alignment (including migration to Data Morph). Partner with finance stakeholders, triage failures, and drive AI-driven POCs for data quality and pipeline automation.

Develop and maintain Python libraries, services, and frameworks for data pipelines used in trading and research. Collaborate with quantitative and tech teams to design data models, deploy resilient data platform tooling, improve development velocity, write design/requirements docs and runbooks, and provide higher-order production support during business hours.

Manage and maintain all project documentation for large-scale data centre construction: control drawings, RFIs, submittals, approvals, QA/QC, commissioning and handover records. Administer document management systems (ACC), track workflows, coordinate stakeholders, compile O&M manuals and support audits to ensure compliance with project and client procedures.

Lead techno-functional data solutions for Wholesale Banking, Retail, and Global Markets. Gather requirements, design/validate data models (Teradata FSDM, dimensional), profile and map data from core systems, author specifications, collaborate with architects and engineers, execute data validation tests, and provide data-driven insights for strategic decisions.

Design and build enterprise-scale ingestion frameworks and Lakehouse platforms. Develop reusable Spark/Python components, data models, data products, quality controls, and observability. Support CI/CD, DevOps, Kubernetes-based deployments, and operationalize ML models for AI-driven analytics and risk/fraud use cases in banking.

Design and build scalable, metadata-driven data pipelines, frameworks and services for AI/ML use cases. Lead end-to-end SDLC, deliver high-quality backend solutions, manage production support and CI/CD, collaborate with stakeholders, perform POCs, and drive process improvements and automation.

Manage cost planning, procurement, contract administration, cost control and reporting for large-scale data centre/mission-critical projects. Produce estimates, budgets, tender evaluations, manage variations and claims, support value engineering, stakeholder coordination, risk management and project close-out.

Manage cost planning, procurement, contract administration, cost control and reporting for large-scale data centre and mission-critical projects. Lead tendering, evaluate contractors, manage variations and claims, support value engineering, risk management, stakeholder coordination and financial close-out across CSA or MEP trade packages.

Support cost management for Civil, Structural & Architectural works on a large data centre. Assist with cost estimating, tendering, procurement, change management, cost reporting, contractor claims review, stakeholder coordination, and governance to ensure cost control and accurate financial reporting throughout the project lifecycle.

Build, test and support batch and streaming data pipelines and curated datasets on a lakehouse AI data platform. Implement data modelling, partitioning, schema evolution, data quality controls and reconciliation. Collaborate with platform teams and consumers to deliver reliable, scalable data products and reusable tooling; contribute to technical design and mentoring for more senior candidates.

Lead planning and delivery of commercial fit-out and data centre projects, managing schedules, budgets, change control, governance, safety compliance, stakeholder engagement, and cross-functional teams. Prepare progress reports, capture lessons learned, and identify business development opportunities.

Participate in a 3–6 month accelerator as a Data Product Manager focusing on trading insights. Analyze trading and user data, propose and deliver product enhancements, collaborate cross-functionally, monitor product performance, gather feedback, and manage end-to-end product lifecycle to improve engagement and conversion.

Lead planning and delivery of construction/data centre fit-out projects: manage programmes, schedules, procurement, site coordination, stakeholder engagement, reporting, team development, compliance, quality, safety and budgets.

Oversee health, safety and environment (HSE) for data centre construction projects across multiple sites. Conduct daily site visits, audits, safety walks, report incidents and near-misses, manage contractor inductions, ensure corrective actions, prepare monthly safety assessment reports, and support project management to achieve zero incidents and compliance with client protocols.

Design, build, and deploy production-grade ML models (cross-sell, upsell, recommendation, LTV), automate model lifecycles with SageMaker, leverage LLMs for personalization and insight generation, run A/B tests, collaborate with product and engineering, and mentor junior data scientists to drive measurable revenue outcomes.

Own end-to-end ML solutions to improve driver allocation, surge pricing, and incentives. Translate business problems into models, deploy and monitor production systems, design experiments, apply causal inference, optimization and simulation, and communicate results to cross-functional stakeholders.

Lead generation and closure of complex, cross-technology solution sales. Build and maintain C-level client relationships, conduct workshops and presentations, collaborate with sales and pre-sales teams, leverage vendor relationships, craft tailored solutions, forecast opportunities, and meet sales targets while contributing best practices to internal knowledge bases.

Lead ETL, data processing, and analysis to generate actionable market intelligence for maritime clients. Build forecasting models, maintain dashboards and reports, support commercial desks with real-time insights, and present findings to stakeholders.

The role involves managing AI and data science projects, engaging stakeholders, and delivering data-driven solutions while leading a team and guiding junior members.

Analyze blockchain data, creating efficient query solutions and fraud detection methodologies while ensuring data integrity and transforming customer data needs into actionable insights.

As a Data Engineer, you'll design and develop cloud-native data platforms, create scalable data pipelines, and support analytics and reporting across teams.

The Assistant Data Analyst Manager will lead an analytics team, manage stakeholder relations, oversee Power BI projects, and contribute strategically to data initiatives.

The Data Engineer will optimize data infrastructure, develop scalable ETL processes, establish data governance, and collaborate with data teams to ensure data accuracy and performance.