Top Data Jobs in Singapore

Design, build, and maintain data models, ETL pipelines, dashboards, and APIs to support industry models, research, and consulting. Ensure data accuracy, completeness, and observability while integrating new datasets and cloud infrastructure. Collaborate with analysts and stakeholders to deliver robust, modular production data systems with minimal supervision.

Lead end-to-end development and productionization of predictive, prescriptive, and agentic AI analytics across commercial, marketing, finance, and franchise domains. Build scalable ML/LLM solutions, implement RAG and orchestration, partner with stakeholders, and drive adoption and business value through analytics products and MLOps practices.

The role involves leading BIO initiatives, collaborating with sales teams, enabling digital capabilities, and engaging stakeholders to enhance agent productivity and business outcomes.

Support construction and maintenance of overseas advertising data reports and indicators. Develop and maintain data flows for the overseas advertising system. Collaborate with cross-functional teams to translate business requirements into data engineering solutions while ensuring data quality, reliability, and performance.

Analyze transaction and account data to detect card fraud, money mule networks, and suspicious cashflows; build models and dashboards for collections and lending products; automate reporting; support CBS submissions, regulatory reporting and cross-functional stakeholders to improve risk mitigation and collection effectiveness.

Design, build and productionize data and ML models and pipelines; collaborate with data engineers on ingestion, backend services and analytics; assess data for hypotheses and test use cases; document models and transfer modelling capability to internal teams.

Design, build, and deploy AI and ML solutions (predictive and generative) for customer-facing and operational banking use cases. Work with large structured and unstructured datasets, apply deep learning/NLP/reinforcement techniques, explore agentic AI and RAG, collaborate with cross-functional teams, and communicate insights through visualization and storytelling.

Support the research project on antibody generation, handling data analysis, model development, and assisting in project execution activities.

The role involves analyzing datasets to optimize learning processes, developing strategies for faculty engagement, and conducting action research in educational settings.

The Visiting Professor will participate in teaching and research, supervise graduate students, and mentor junior faculty at NTU's College of Computing and Data Science.

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 and support analytics lifecycle activities: manage analytic data platforms, govern data access, design and implement reporting/BI, apply advanced quantitative modeling, deliver actionable business insights, contribute to policies, work independently on complex projects and mentor junior colleagues.

Design and deliver production-ready AI and data science solutions across CRM, retail, marketing and operations. Build ML models, GenAI/RAG pipelines, feature engineering and training workflows; collaborate with data engineering to deploy, monitor and optimize models; run experiments and measure business impact while ensuring responsible AI, security and governance.

Lead identification, framing and orchestration of high-value data and AI initiatives across the region. Define strategic KPIs, build business cases, prioritize use cases, and translate approved initiatives into delivery and adoption plans. Drive product adoption, change management, upskilling and measurement of business impact; liaise with Finance, HR/P&O, President Office, tech and data teams to ensure alignment, readiness and sustained value realization.

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.

Lead design and operation of scalable data ingestion pipelines, curated datasets and semantic models. Partner with Data Product, Stewardship, Analytics and Data Science to deliver governed, high-quality data foundations. Build and optimize Power BI dashboards, enforce data quality and lineage, and enable AI-ready datasets to support reporting, analytics and AI-enabled products.

Paid full-time internship analyzing large-scale WeChat data to identify product opportunities, build dashboards, design scalable data pipelines, and integrate AI tools (LLMs, RAG, AI agents) to automate analysis and support cross-functional product decisions.

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.

A 12-month graduate programme offering rotations and hands-on projects in Technology or AI & Data Science. Responsibilities include building and deploying software, cloud and infrastructure work, cybersecurity practices, and developing ML/GenAI solutions (LLMs, agents, MLOps). Participants receive structured training, mentoring, and exposure to senior leaders while working on real enterprise problems to deliver scalable, secure, and impactful solutions.

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.

Lead design and delivery of AI-powered automation, Copilot agents, advanced analytics, and monitoring solutions for global Healthcare Compliance. Translate business problems into scalable data-driven solutions, partner with governance and technology teams, and mentor stakeholders while implementing APIs, BI dashboards, process mining, and Cloud-based generative AI capabilities.

Lead APAC Data Quality governance: define framework, standards, KPIs and DQ score; prioritize critical Data Products; translate business needs into testable quality requirements; coordinate IT/delivery partners for monitoring and remediation; enable trusted structured and unstructured content for analytics and Generative AI; influence cross-functional stakeholders and represent APAC in global forums.