Top Data Jobs in Singapore

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.

Lead and execute end-to-end talent acquisition strategies, source and assess candidates, optimize recruitment processes, partner with managers on hiring plans, leverage ATS/CRM and analytics, and drive employer branding and continuous improvement.

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.

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.

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.

Support data management and governance by managing data assets, ensuring data quality, standards, and policies; publish and protect data for analytics; contribute to analytic platforms and reporting solutions; work on moderately complex projects with general guidance.

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.

Design, build, and maintain data models, ETL pipelines, dashboards, and APIs to support industry models, research, and consulting. Ensure data accuracy, completeness, and observability while integrating new datasets and cloud infrastructure. Collaborate with analysts and stakeholders to deliver robust, modular production data systems with minimal supervision.

Lead data discovery, governance, and master data management for supply chain. Define processes, KPIs, and quality metrics; translate business needs into data requirements; resolve data issues; run workshops and collaborate across technical and business teams to improve data quality and implement solutions.

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 end-to-end delivery of enterprise data and analytics solutions for retail banking, spanning requirements analysis, solution design, testing, implementation, governance, and production support for ML/NLP-enabled and rule-based decisioning systems.

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.

Lead the strategy and architecture for enterprise data and AI, focusing on design authority, governance, metrics, and capability building.

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.

The Data Analytics Lead will work with senior leadership on strategic projects, focusing on high-impact analytics solutions and driving execution for tangible results.