Top Data Jobs in Singapore

Design and deliver end-to-end data architectures and platforms (data lakes, warehouses, lakehouses) for asset management and predictive maintenance. Build ETL/ELT, streaming and API integrations, ensure data governance, security, quality, lineage, and observability, and provide technical leadership to enable analytics and data-driven decision-making.

Lead operational execution of data quality and governance for risk data. Manage data issue lifecycle, perform profiling and root-cause analysis, implement rules and monitoring, support data stewardship, drive BCBS239 attestation, collaborate with tech and risk units, and optimize tools and processes to ensure data fitness and regulatory compliance.

Support EDB Finance by improving and automating incentive administration workflows. Co-design systems and dashboards, review company claims for compliance, perform on-site assessments, prepare reports to senior management, identify policy gaps, and promote incentive governance and risk management.

The Control and Metrics External Data Analyst will manage external data usage, oversee external data initiatives, and support the Chief Data Officer in implementing the Bank's data strategy.

This role involves designing and developing AIML/GenAI solutions, collaborating with engineering teams, and translating business needs into AI-driven solutions.

Lead pricing-focused data science for on-demand services: translate business problems into ML solutions, own full ML lifecycle, improve dynamic pricing using econometrics and causal inference, design experiments, monitor models, and communicate results to stakeholders.

The Senior Data Scientist will deliver analytics solutions, develop scalable data products, and work on machine learning and statistical models to solve operational challenges.

Lead end-to-end delivery of data, analytics, and AI projects on GCP. Manage scope, timelines, risks, cross-functional teams, Agile delivery, stakeholder communication, and governance to ensure solutions meet business objectives.

Lead design and implement enterprise data integrations and movement across systems. Define data contracts, map/transform data, support GenAI data preparation, coordinate deliveries, troubleshoot integrations, and document interfaces while working across platform, application, infrastructure, security teams.

The Technical Services Systems Integration Specialist provides technical support, engages with clients, escalates issues, and mentors junior engineers while focusing on technical implementations across multiple technologies.

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.

Own data quality and root-cause analysis for prediction issues: detect anomalies, trace sources, fix processes, automate QA/reporting with Python and SQL, maintain dashboards, and partner with Data Science, Engineering, Product, and Commercial teams to improve prediction performance and customer-facing analytics.

Support data integrations and quality by checking ingested/system-generated data for anomalies, building and running QA checks and automations with Python and SQL, assisting on customer data queries and dashboards, and documenting findings to improve prediction reliability.

Own and operate thousands of mission-critical ETL pipelines, manage and resolve data incidents, validate and remediate data, build automation and tooling to improve reliability, and collaborate with portfolio managers, data scientists, and vendors to ensure accurate, timely data delivery for trading research and execution.

The Research Scientist will conduct innovative research in cloud computing and distributed systems, developing algorithms to optimize performance and efficiency through machine learning techniques.

The Visiting Professor will teach, conduct research, supervise graduate students, and mentor junior faculty while maintaining high scholarly standards and international visibility.

The Research Associate will work on geometric optimization in learning and robotics, including algorithm design and scientific reporting.

Lead data science initiatives, including project scoping, model development, and team training. Drive impactful data-driven business decisions.

Develop and implement statistical models for data analysis, collaborate with teams for process improvement, and present findings to management. Stay updated on data science and machine learning advancements.

Lead marketing measurement: own attribution, incrementality testing, and media mix modeling. Design and analyze experiments, build repeatable templates and self-serve analytics, translate results into budget and growth recommendations, ensure data integrity, and embed AI tools into analysis workflows to measure pipeline and revenue impact.

Lead regional data centre operations to ensure 24x7 uptime and SLA compliance. Oversee Operations Directors and site teams, manage emergency escalations, vendor contracts, audits, compliance (ISO/SOC), budgeting (OPEX/CAPEX), change management, root cause analysis, and operational reporting. Drive operational and financial efficiencies and support strategic planning and stakeholder communications across a Southeast Asia portfolio.

Design, train, evaluate and deploy machine learning and AI models. Build data pipelines, preprocess data, run EDA, optimise algorithms, deploy models to production (cloud/APIs/containers), monitor performance, document models, and collaborate with cross-functional teams on AI prototypes and production solutions.

Conduct research on vector search and AI methods for sustainability. Develop quantitative sustainability indicators, AI-enabled monitoring frameworks, and data-driven ESG assessment tools. Build data collection/validation/visualization tools, design experiments and statistical models, ensure trustworthy AI, collaborate with multidisciplinary teams, and produce proposals and scientific publications.

Lead technical design, development, and deployment of data platforms, analytics, and AI solutions. Set architecture, standards, and governance; drive MLOps/DataOps practices, model governance, and integration (including robotics). Provide hands-on delivery, technical direction, and mentorship to ensure scalable, secure, and reusable AI capabilities.

Lead renewable energy and cleantech strategy across APAC, originating and negotiating PPAs and utility agreements. Develop behind-the-meter campus energy solutions (solar, wind, BESS, hydrogen, microgrids), manage grid and utility relations, and drive project delivery from development through commercial operation while aligning energy strategy with growth, sustainability and customer needs.