Top Data Jobs in Singapore

Lead full-lifecycle cost management for hyperscale data centre projects: develop budgets and forecasts, deliver pre- and post-contract cost control, lead procurement and tendering for CSA/MEP/specialist systems, advise on value engineering, manage variations/claims, mentor cost team, and ensure governance, risk mitigation and alignment between technical design and cost efficiency.

Provide project management support across the project lifecycle for data centre projects: planning, documentation, monitoring, reporting, change control, stakeholder liaison, and meeting administration.

Support cost management for data centre projects by preparing estimates, cost plans, tender support, contract administration, cost tracking, monthly reporting, progress valuations, and coordinating with contractors and consultants to control variations and maintain audit-ready cost records.

Manage site-based MEP works for a data center: monitor contractor progress, conduct quality checks and inspections, manage submittals/RFIs/shop drawings, prepare reports, maintain risk and issue logs, coordinate with hotel operations, facilitate meetings, and support stakeholder communication and decision-making for the Project Lead.

Lead and coordinate data centre fit-out projects, managing programmes, schedules, procurement, site teams, stakeholders and reporting. Ensure safety, compliance, quality, budgets and timelines while mentoring junior staff and overseeing consultants and contractors.

Support cost management for data centre projects: prepare estimates, cost plans and tender documentation; assist post‑contract cost tracking, valuations and monthly reporting; maintain cost records, support value engineering and coordinate with contractors and consultants.

Lead cost management for MEP data centre construction projects from initiation to completion. Oversee cost planning, estimating, reporting, value engineering, risk and contract management, client/stakeholder engagement, team leadership, invoicing via Dynamics 365, and business development activities to meet budgetary and quality targets.

Deliver full lifecycle cost management for Civil, Structural & Architectural (CSA) packages on large data centre projects. Prepare cost estimates and plans, advise on structural and architectural design, manage procurement and tendering, control post-contract variations and payments, report forecasts and risks, and coordinate commercial input with project teams, consultants, contractors, and MEP leads to ensure cost certainty and governance.

Support cost management for data centre projects including estimating, quantity take-offs for MEP/CSA packages, tender support, contract administration, cost tracking, monthly reporting, progress valuations, and coordinating contractors and consultants to verify work and financial claims.

Lead delivery of data and digital consulting services: define deliverables, engage senior stakeholders, manage small teams, design scalable data pipelines, implement dashboards and analytics, ensure data quality and governance, and drive digital transformation using cloud, BI, and automation tools.

Manage day-to-day contract administration for data centre projects, oversee claims and dispute resolution, maintain documentation and correspondence, advise project teams on contractual risks/opportunities, support reporting, meetings, project closeout, and liaise with legal and stakeholders to ensure contractual compliance.

Data Contributors will research startups, analyze global data for StartupBlink's Global Startup Ecosystem Index, and compile accurate information for publication.

This role involves designing and maintaining data pipelines, managing APIs, collaborating with teams, and ensuring data quality and governance.

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 HUD's data quality strategy for RL training data: build QC systems, validate synthetic data at scale, design evaluation experiments, partner with researchers and vendors, convert research insights into production validation pipelines and tools, and mentor research engineers.

Translate business problems into data solutions: collect/explore data, build and evaluate statistical and AI models, deploy models as code (microservices), develop AI agents and RAG solutions using vector/graph databases, apply 3D/CAD and mesh algorithms, and support data governance, migration, and policy to maintain model lifecycle and business value.

Lead partner-focused analytics for APAC: investigate conversion, churn, and payment-funnel issues; analyse large operational datasets; build dashboards and automated reports; perform root-cause analysis; collaborate with commercial teams and external partners; apply analytics engineering and emerging AI tools to improve partner outcomes.

Define and own Finance data architecture and pipelines from ingestion to reporting with full lineage and immutability. Ensure audit-ready financial reporting, partner with Accounting/Treasury for month-end and statutory reporting, build embedded data quality controls, lead incident response, drive AI/LLM adoption in data workflows, mentor engineers, and represent the domain across the organization.

Own end-to-end compliance data pipelines from ODS ingestion through CDM to downstream marts for TMS, KYC, CMS, and regulatory reporting. Build production-grade, auditable pipelines with proactive data quality, monitoring, and reconciliation. Use AI/LLM tooling to accelerate domain ramp-up and pipeline development. Collaborate with Compliance Project Lead, take sub-domain ownership, and mentor junior engineers.

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

Lead development of personalization and recommendation systems using large-scale transactional data. Define model strategy, build and deploy scalable ML pipelines, run experiments to measure impact, mentor data scientists, and collaborate with Product and Engineering to drive customer engagement and transactions.

As a Senior Data Scientist, you'll design and implement advanced retrieval and ranking algorithms for GoFood and GoPay, enhancing user experience and business impact through innovative solutions.

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

Lead and build BNY's Singapore Applied AI team to identify, design, and deliver production-grade AI/ML and LLM solutions. Drive end-to-end delivery from problem framing, prototyping, evaluation, deployment, monitoring, and adoption while embedding responsible AI, governance, and cross-functional stakeholder alignment.

Maintain, design, and enhance the Group AI and model inventory system to support AI governance. Implement process improvements, integrate automation, collaborate with model owners, risk, compliance, IT and external reviewers, and drive future-state system implementation and regulatory compliance for Generative and Agentic AI models.