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.

Maintain and update security instruments, counterparty and general static data; execute control and client delivery frameworks; handle exceptions/escalations; report team statistics; perform ad-hoc tasks and projects. Ensure SOP compliance and support data management initiatives.

Conduct research on ML, deep learning, recommendation algorithms and AI agents for game data; perform large-scale statistical analysis, user behavior mining, sentiment analysis, topic modeling and summarization; identify retention pain points; improve data pipelines and develop distributed, efficient data-mining solutions.

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.

Design, build, deploy and monitor statistical and ML models across the full lifecycle. Partner with business, engineering, and risk to translate problems into analytics, ensure production-grade pipelines, mentor junior staff, and uphold data quality and responsible AI practices.

Sustain and operate Marvell's Silicon.da test data analytics platform: monitor and resolve data loading and quality issues, support users via ServiceNow/Slack, coordinate with vendors and foundries, maintain documentation, and drive issue closure and operational readiness.

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.

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.

Analyze payment flows and network fees, translate network specifications into billing models, identify cost-saving opportunities, partner with engineering, product, and finance, maintain fee accuracy and alerts, document and scale operational processes, and educate stakeholders.

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.

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.

Design, train, fine‑tune, deploy, and monitor ML and generative AI models to improve manufacturing outcomes. Collaborate with engineering, MLOps, R&D, and business teams, perform data analysis, build dashboards, and educate stakeholders on AI approaches including NLP and computer vision.

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.

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

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

Support deployment of marketing analytics for Consumer Banking by performing data discovery, building and maintaining predictive models, campaign reporting, segmentation, and campaign execution support. Collaborate with product managers, data engineers, and data scientists to improve marketing effectiveness, automate campaign processes, and translate data into actionable insights for customer acquisition, cross-sell and activation.

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.

As a Data Scientist, you'll develop predictive models, analyze large datasets, and collaborate with stakeholders to drive data-informed business decisions.

The intern will design safe processes, analyze behavior for anomalies, track fraudulent accounts, and maintain machine learning models to enhance account safety.

Lead Enterprise AI initiatives by designing, developing, and deploying AI/GenAI solutions. Partner with data engineers, technologists and business stakeholders to prototype, integrate, validate and benchmark LLM and advanced-model applications, manage expectations, and translate analytic results into business outcomes.

The role involves resolving client solution requirements, managing installations and troubleshooting issues across multiple technologies, focusing on collaboration and networking solutions.

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.

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

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

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.