Top Data Jobs in Singapore

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.

Manage pre- and post-contract cost services for complex construction projects, focusing on data centre MEP/CSA packages. Produce estimates, cost plans, tender documentation, cost reports, cashflows and forecasts. Lead tendering, change control, value engineering and cost optimisation. Interface with clients, contractors and vendors, support governance and risk management, and mentor junior cost staff while improving cost processes and benchmarking.

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 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.

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.

Design, build, and deploy AI/ML solutions (including generative models, RAG, and agentic AI) using large-scale structured and unstructured data. Collaborate with cross-functional teams to productionize models with cloud and MLOps, create data visualisations and insights, and apply modern ML techniques to improve customer experience and operational efficiency.

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.

Lead mechanical engineering for data center and infrastructure fit-out projects across APAC. Review and QA MEP and fire protection designs using BIM and cloud platforms, coordinate clients/contractors, perform thermal/hydraulic/CFD analyses, optimize designs for manufacture, maintain deliverables, ensure compliance with standards, and support scope, cost, and schedule management.

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

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.

The Senior Data Scientist will build and manage the intelligence layer of the Railway Common Data Platform, implement machine learning solutions, and enhance operational efficiency through data analytics and AI capabilities.

Own end-to-end data systems: ingest into BigQuery using Airflow/Dataflow/Python, model with dbt, deliver analysis in Hex, provision infra with Pulumi, instrument reliability and cost-effective partitioning, trace metrics to source, partner with growth/finance/product, and incorporate AI tooling responsibly into the pipeline.

NTT DATA's Associate Graduate programme provides structured learning, mentorship, and hands-on exposure across cloud, data, AI/ML, application development, automation, infrastructure and cybersecurity. Graduates work on real client projects, earn certifications, build technical and professional skills, and explore specialised career pathways such as Cloud Engineering, Data Engineering, AI/ML, and Cybersecurity.

The Partner Development Manager is responsible for strategizing and managing partnerships with GSIs and System Integrators in ASEAN to drive revenue, increase brand awareness, and develop go-to-market strategies.

The Data Visualization Developer will create and support dashboards in Power BI, develop SQL scripts, perform regression testing, and troubleshoot existing scripts.

The Senior Data Scientist will lead growth analytics, measure channel performance, build AI-powered tools, and partner with growth teams to enhance user acquisition and retention.

The Data Architect will define and maintain data architecture, drive data solutioning, establish governance frameworks, guide implementations, and collaborate with teams in the healthcare sector.

This role involves providing technical support, implementing, and maintaining enterprise IT infrastructure, including troubleshooting, system upgrades, and supporting disaster recovery planning.

The Head of Data Discovery manages the bank's data discovery platform, ensuring data accessibility and compliance, while enabling analytics innovation across various business units.

The Data Scientist will develop AI-driven solutions for supply chain optimization, utilizing advanced analytics, machine learning, and statistical modeling to deliver business impact.

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.

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.