Top Data Jobs in Singapore

Develop and implement AI/ML and Generative AI proof-of-concept solutions, including data processing, model training, deployment, experimentation, and algorithm optimization. Collaborate with business, technology, and engineering teams to integrate scalable solutions into existing platforms. Apply deep learning, NLP, and large language model techniques to address business challenges, translate real-world problems into data science solutions, and contribute to technical knowledge sharing.

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.

Design, build, and operate production-grade batch and streaming data pipelines across AWS and Databricks. Develop lakehouse architectures, data models, quality controls, orchestration, lineage, monitoring, and security practices. Optimize Spark and SQL workloads, establish engineering standards, review designs and code, mentor engineers, and collaborate with data owners, analysts, data scientists, architects, and governance stakeholders. Support reliable, well-governed data products for analytics, reporting, and machine learning.

Develop and validate fraud-risk models for public training subsidies. Responsibilities include recalibrating thresholds, engineering features, evaluating model performance, monitoring data and concept drift, investigating anomalies, assessing emerging fraud schemes, and documenting analytical methods. The role requires collaboration with technical and policy stakeholders, clear communication of trade-offs, and reproducible Python and SQL workflows. Preferred experience includes imbalanced data, delayed labels, dashboards, MLOps, cloud data platforms, graph analytics, and public-sector datasets.

The Data Analyst develops and maintains Power BI dashboards, datasets, data models, SQL and DAX solutions, and data pipelines. The role supports AWS cloud analytics integration, data quality, troubleshooting, governance, documentation, and workspace administration. It coordinates data engineers, translates business requirements into technical deliverables, collaborates with stakeholders, and communicates findings to nontechnical audiences while supporting agile delivery and data privacy compliance.

Leads data migration and analysis projects for KYC and CLM platforms. Gathers requirements, documents business rules and data mappings, analyzes data quality and lineage, defines cleansing and transformation rules, and validates migration results through SIT. Coordinates business, technical, QA, and architecture stakeholders; tracks defects, remediation, risks, and project progress. Supports project planning, client presentations, stakeholder management, and business development.

Lead data migration analysis projects involving source and target data profiling, remediation, quality checks, SQL validation, test case design, SIT and UAT validation, and Power BI dashboard development. Collaborate with business analysts, architects, developers, and QA teams to validate mappings, transformations, defects, and regulatory compliance for KYC and CLM initiatives. Coordinate project teams, maintain documentation, provide recommendations, and support client proposals and business development.

Leads Asia-Pacific data center site origination by securing land, grid capacity, power allocations, water, fiber, and government support. Responsibilities include site due diligence, land and infrastructure negotiations, market entry analysis, investment committee recommendations, pipeline management, and handover to development teams. The role requires strong relationships with utilities, landowners, government agencies, developers, and potentially hyperscale customers, plus regular travel across priority markets.

Provides advanced managed services support across cloud, security, networking, and application infrastructure. Resolves complex incidents, monitors systems, meets SLAs, performs proactive optimization, creates knowledge articles, and supports automation. Engages vendors, contributes to projects and disaster recovery, maintains operational systems, and mentors L2 and junior engineers while ensuring client requirements are met.

Develop and optimize Supabase’s Data API based on PostgREST. Responsibilities include improving the PostgreSQL driver and performance, developing features, fixing bugs, resolving incidents and escalated support issues, improving observability, and debugging integrations across the Supabase platform. The role requires strong Haskell development, PostgreSQL and SQL expertise, Linux debugging, open-source contribution, and technical user support.

Manage daily Data team operations, research and analyze datasets, build internal and external reports (including an annual Startup Ecosystem Ranking), and maintain/improve Python scripts and data infrastructure to deliver actionable insights.

Designs and maintains data pipelines, models, storage solutions, dashboards, and analytics frameworks for rail asset management. Analyzes asset data to identify trends and support decision-making, ensures data quality and accessibility, translates stakeholder needs into technical specifications, and collaborates with LTA teams, rail operators, and manufacturers on implementation, testing, and commissioning.

Develops and deploys AI, machine learning, GenAI, automation, and analytics solutions for Group Risk Management. Partners with business, risk, data engineering, data science, and technology teams to translate business needs into measurable outcomes. Guides model selection, GenAI cost estimation, benefit realization, responsible AI, data governance, and regulatory compliance while promoting an AI-enabled culture.

Lead enterprise-wide Data and AI transformation programmes across banking business and technology domains. Responsibilities include programme governance, delivery planning, executive reporting, data governance, AI implementation, risk and dependency management, budgeting, resource planning, stakeholder engagement, vendor management, change adoption, and benefits realisation.

Sell high-bandwidth IP transit and value-added services to ISPs and internet companies, generate new revenue, prepare technical/commercial proposals, manage accounts, coordinate cross-functional teams, track sales plans, and support global customers with up to 50% travel.

Applies data science, operations research, predictive analytics, forecasting, simulation, and optimization models to air network planning and operational decisions. Operates and supports AI, machine learning, and generative AI solutions in GCP using services such as BigQuery, Vertex AI, and Gemini. Analyzes complex datasets with SQL and Python, develops dashboards and reporting tools, evaluates scenarios, supports process improvement, and communicates recommendations to technical and business stakeholders.

Leads data-driven analysis and transformation initiatives across business units. The role analyzes complex customer and operational datasets, develops models, experiments, simulations, campaigns, and dashboards, and presents actionable insights to stakeholders and senior leadership. It partners with product owners and cross-functional teams to optimize journeys, improve efficiency, support strategic decisions, and maximize data value.

Research emerging trends across technology, consumer behavior, markets, and society; translate findings into strategic insights and opportunities; design and lead rapid experiments and proofs of concept; collaborate with banking and technology teams; engage startups, fintechs, and research institutions; present recommendations to senior stakeholders; and promote innovation practices across DBS.

Supports semiconductor manufacturing equipment through hands-on troubleshooting, data analysis, predictive maintenance, automation, and AI-driven optimization. The role monitors equipment performance, identifies trends, improves reliability and productivity, collaborates on smart manufacturing initiatives, maintains technical documentation, and promotes EHS&S compliance. Normal, swing, day, and night shifts may be required. Candidates without prior experience are welcome and will receive comprehensive training.

Develop and deploy AI-driven solutions, including generative AI copilots, recommendation systems, RAG, and agentic AI. Build predictive and generative models using large-scale structured and unstructured data. Apply advanced visualization and storytelling, collaborate with business stakeholders, and use cloud, MLOps, and real-time data platforms to solve banking challenges.

Build and maintain customer lifetime value, churn, conversion, clustering, classification, and sentiment analysis models across APAC markets. Partner with commercial, marketing, and finance teams to translate business questions into analytical solutions, present insights to non-technical stakeholders, and manage the full data science lifecycle from problem framing and data extraction through deployment and monitoring.

Build and maintain marketing data infrastructure across APAC by integrating GA4, AppsFlyer, Amplitude, and Braze with GCP. Develop ETL/ELT pipelines, support attribution and measurement modeling, maintain tracking and tagging, enforce data governance, resolve data quality issues, and document pipelines and schemas. Partner with marketing, analytics, and engineering stakeholders to deliver integrations and enable reliable self-service reporting across Singapore, Australia, Japan, and emerging markets.

Supports Singapore arts and culture data projects by extracting, cleaning, transforming, analyzing, and modeling data. Builds dashboards and visualizations using Excel, AWS QuickSight, SQL, Python, and Tableau; documents data practices; and contributes to a new data warehouse and visualization platform. The role also provides exposure to stakeholder engagement, knowledge management, and organizational adoption of data solutions.

Manage cost and commercial aspects of MEP works on a large-scale data centre development. Responsibilities include cost planning, budgeting, tendering, procurement, contractor payment certification, variations, forecasting, cost reporting, risk management, and final account close-out. Coordinate with engineering teams on power, cooling, fire protection, and structured cabling systems while liaising with clients, consultants, contractors, and vendors to maintain financial control and value optimization.

Leads talent acquisition analytics and process improvement, including dashboard development, workforce forecasting, assessment enhancement, workflow automation, SOP updates, TA system transformation, change management, reporting training, and stakeholder data requests. Translates recruitment insights into hiring strategies and staffing recommendations while improving selection quality and operational effectiveness.