Top Data Jobs in Singapore

Develop robotics datasets and evaluations for embodied AI systems. Responsibilities include defining data schemas, annotations, quality standards, collection protocols, validation tools, and review workflows. The role also involves running experiments to assess how data quality and structure affect model performance, collaborating with research, engineering, vendors, and customers, and taking research tools from conception through deployment.

Leads APAC data strategy and Greater China AI strategy initiatives across media campaigns. Develops audience segments from first-party and external data, drives adoption of data and AI tools, delivers localized training, advises campaign teams, tracks governance and adoption, and pilots market-specific AI solutions. Coordinates regional and global stakeholders while translating complex technical capabilities into practical workflows, playbooks, reporting, and measurable campaign improvements across China, Taiwan, and broader APAC markets.

Leads functional business analysis for enterprise compliance technology initiatives covering KYC, AML, sanctions, anti-bribery, and fraud workflows. The role defines business and technical requirements, target processes, roadmaps, testing strategies, scope changes, governance, and deployment plans. It manages senior stakeholders, risks, funding alignment, and post-go-live knowledge transfer while leading and developing a team of functional business analysts.

Leads ticketing fees and data initiatives within a transit authority, including monitoring ticketing costs, managing provider contracts, analyzing transit data, supporting new payment modes, implementing service improvements, and preparing agreements and approval papers. The role also develops ticketing policies, monitors service levels and fees, and manages internal and external stakeholders while leading a team.

Support AI prototypes, AI/BI solutions, AI agents, GenAI workflows, dataset preparation, model evaluation, dashboards, and reporting. Assist with testing, issue investigation, documentation, deployment, monitoring, security, compliance, and governance. Collaborate with technical teams and business users while learning new AI and BI tools during a six-month internship.

Supports AI and data governance by managing model access, auditing permissions and compliance processes, documenting governance activities, monitoring models, developing awareness training, tracking regulatory trends, and preparing governance reports. Collaborates with IT and business teams to ensure AI and data models follow security protocols, data protection laws, and internal policies.

Assist with building, testing, and supporting data pipelines on the Enterprise Data Platform. Process and organize datasets for business use cases, perform data quality checks, maintain documentation, and support stakeholders. The intern will apply Python or Java and object-oriented programming while learning data engineering tools, cloud platforms, and big data technologies.

Designs and maintains Databricks-based ETL/ELT pipelines on AWS, develops optimized data models for analytics and BI, and supports production GenAI integrations. The role collaborates with data scientists, AI engineers, and business teams to operationalize models, manage data dependencies, implement monitoring and quality standards, and ensure secure, compliant data workflows.

Provides L3 managed services engineering for Microsoft 365 and cross-technology infrastructure. Responsibilities include resolving complex incidents, monitoring systems, meeting SLAs, troubleshooting, incident escalation, vendor coordination, operational improvements, automation support, disaster recovery, project delivery, knowledge-base creation, and mentoring L2 and junior engineers.

Gather and analyze business and risk requirements for Market Risk systems; create functional specifications, assess impacts, design test plans, conduct UAT and other testing, manage enhancement timelines, and provide BAU support for risk data sourcing, extraction, and analysis.

Drive revenue growth by selling complex power and cooling solutions to data centre customers in Singapore and Johor Bahru. Manage the full sales cycle from technical discovery and solution development through presentations, quotations, contract negotiations, and order closure. Build strategic customer relationships, develop key accounts, monitor market and competitor activity, maintain CRM records, and collaborate with internal teams while meeting safety and operational standards.

Design and deliver Qlik Sense dashboards, reports, data models, and AWS-based data pipelines. Translate stakeholder requirements into BI solutions, implement governance and security controls, optimize performance, manage Qlik environments, support UAT and adoption, troubleshoot data connectivity, and mentor team members on business intelligence and cloud data engineering practices.

Partner with global teams to drive international expansion through experiments, data pipelines, dashboards, metrics, and actionable insights. Translate business goals into analytical frameworks, collaborate with product and engineering teams, and deliver reporting, recommendations, and self-service tools that improve stakeholder data literacy and support growth decisions.

Audits and validates labeling annotation data for accuracy, consistency, guideline adherence, and regulatory compliance. Identifies errors and root causes, monitors quality KPIs, leads governance cycles, translates data trends into process improvements, and leads the NC Program. Collaborates with agencies and internal stakeholders across labeling operations.

Design and build scalable data infrastructure, backend services, data discovery and lineage systems, and fault-tolerant pipelines processing petabytes of data. Lead system design, code reviews, and technical contributions while developing cloud-based ETL solutions. Collaborate with machine learning and autonomy teams to improve data access, processing, and platform adoption.

Manage end-to-end data hall fit-out and ELV system design and delivery for data centers, from client consultation through handover. Coordinate consultants, contractors, system integrators, procurement, construction, testing, and commissioning. Lead designs for structured cabling, security, AV, automation, and related infrastructure while ensuring compliance with standards and client requirements. Provide technical support, resolve site issues, engage international clients, and help develop regional ELV and fit-out standards.

Design, implement, and manage large-scale Big Data infrastructure, including Hadoop, Spark, data lakes, storage systems, clusters, and Kubernetes environments. Optimize performance, scheduling, scalability, security, governance, and availability. Support data engineers and scientists, manage capacity planning and infrastructure deployments, and lead engineering teams. The role also involves building streaming and batch pipelines, supporting search workloads, and deploying AI/ML infrastructure.

Early-career research role implementing and running experiments on LLM reasoning, post-training alignment, and agentic AI for crypto markets. Tasks include literature synthesis, model implementation (PyTorch/Hugging Face), experiment tracking (Weights & Biases), and collaborating with engineers to translate research into production.

Design and build scalable onchain data infrastructure, including multi-chain ingestion, real-time and batch processing, data governance, search, storage, and APIs. Develop high-availability systems supporting blockchain explorers, wallets, DEXs, risk controls, token scoring, and related products. Drive technical decisions, cross-functional initiatives, reliability improvements, and AI-enabled engineering capabilities.

DBS is recruiting penultimate-year undergraduates for its 2027 internship program across Business, AI and Data Science, and Technology tracks. Interns must commit to a full-time 12- or 24-week placement beginning in May. Candidates should be self-motivated, adaptable, creative, resilient, and strong communicators. Applicants must submit a current CV and provide the correct internship code during the application process.

Lead SEAA's regional Data & Intelligence strategy, prioritize and deliver data, analytics and AI initiatives, guide platform and architecture choices, embed governance and responsible AI, drive data literacy and adoption, and build a high-performing data team aligned with global standards.

Leads technology and data governance for Prudential Financial Advisers Singapore. Responsibilities include implementing governance frameworks, coordinating audits and regulatory requests, tracking technology and data remediation issues, managing data owners and stewards, maintaining metadata and data lineage, designing data quality rules, overseeing governance checkpoints, and preparing management reporting. The role requires extensive stakeholder coordination across technology, risk, compliance, audit, and business teams in a regulated financial services environment.

Build and maintain scalable ETL pipelines integrating structured and unstructured data. Automate data workflows, ensure efficient data movement, collaborate with analysts, scientists, and stakeholders, translate business needs into technical solutions, and maintain documentation and data governance compliance for secure, accessible data.

Analyze financial data and payment flows, assess data quality and reconciliation accuracy, build production tooling and dashboards, automate compliance reporting, analyze costs, and collaborate with engineering, product, and finance stakeholders. Present findings, participate in technical reviews, and communicate project progress while learning unfamiliar systems and solving operational problems.

Leads APAC data center development opportunities from site identification through land acquisition and execution readiness. Oversees technical and commercial due diligence, feasibility, utility strategy, permitting, risk management, governance, and investment approvals. Leads the APAC Investment Council, develops business cases, presents recommendations to executives, and provides portfolio oversight across budgets, schedules, risks, and capital deployment. Coordinates internal teams, consultants, landowners, utilities, regulators, and other stakeholders across regional markets.