Top Data Jobs in Singapore

Support construction and maintenance of overseas advertising data reports and metrics, develop and maintain data pipelines for the advertising system, collaborate with cross-functional teams to translate business needs into data engineering solutions, and ensure data quality, reliability, and performance.

Design and develop cloud-native, reusable AI and data products for Singapore government projects. Prototype, implement, and validate ML algorithms (CV, NLP, recommender, synthetic AI), build microservices, deploy to cloud and edge (mobile/IoT), assess AI maturity, collaborate with research and industry partners, document and transfer technology, and support product lifecycle and operationalisation.

Lead data analysis and automation for Compliance reporting, building ETL and analytics solutions with Python, SQL and Starburst; create Power BI dashboards; ensure BCBS 239 and data governance compliance; act as Compliance Data Steward; collaborate with stakeholders to improve data processes and conduct business impact assessments.

Lead client-facing implementation projects for Pricing and Reference Data, optimizing processes, managing budgets, and ensuring effective communication across teams while mentoring junior members.

Extract, clean, analyze and present operational data; build and maintain dashboards and performance reports; ensure data accuracy; provide actionable insights to stakeholders and collaborate on data-driven improvements.

As a Lead Data Scientist, you will improve dynamic pricing systems, lead ML projects, collaborate with teams, and analyze data for business impact.

Lead the development and deployment of AI models focusing on computer vision and text processing. Responsible for enhancing model performance and collaborating with teams to meet business needs.

The Associate Systems Integration Specialist learns to manage configurations, installations, and break/fix events and supports senior engineers during the project lifecycle.

The Associate Systems Integration Specialist will learn to manage configurations, installations, and support break/fix events with the TS Systems Integration team.

As a Senior Cross-Technology Technical Architect, you will design transformative solutions, support business development, mentor junior architects, and influence sales strategies, ensuring successful implementation for clients.

The role involves researching technology policies, analyzing trends, developing strategies for emerging technologies, and coordinating efforts within IMDA for effective policy implementation and stakeholder engagement.

Wayvia is building a talent pipeline for engineering roles focusing on backend systems, data pipelines, and product engineering. They seek curious and collaborative engineers to connect with and solve future challenges.

Design, implement, and productionize machine learning and data science solutions. Lead experiments, model development, validation, and communicate insights to stakeholders. Collaborate with cross-functional teams, ensure data quality and ethical practices, and mentor junior data scientists.

Lead independent QA/QC oversight for hyperscale data centre construction in Hong Kong. Conduct site inspections, manage NCRs and punch-lists, verify MEP installations and commissioning readiness, ensure regulatory compliance with HK codes, review quality documentation, report findings to the client, and support close-out and handover activities.

Gather and analyze business and risk requirements, produce functional designs for Market Risk systems, assess impacts, create test plans, execute UAT/regression/simulation tests, manage enhancement timelines, and provide BAU support including data sourcing, extraction, and analysis for market and liquidity risk data stores.

Lead quote operations and manage tooling and FOB cost data flows. Develop and maintain costing analytics, data pipelines, and dashboards (Power BI/Tableau). Co-lead Databricks analytics capability, support business reviews and margin objectives, drive process improvements, automation, data governance, and embed analytics/AI into costing processes across Product Costing, Manufacturing, Finance, and Technology.

Develop and deploy AI/ML and generative-AI solutions: collaborate with stakeholders, research methods, perform data wrangling and feature engineering, maintain deployed models/assistants, build backend APIs and frontend interfaces, document products and fix security issues.

Design, build, and maintain large-scale batch and real-time data pipelines, ETL/ELT processes, and data stores (data lakes, marts, warehouses). Perform data extraction/cleaning (including web scraping), integrate data silos, develop backend APIs, and collaborate with cross-functional teams in an Agile CI/CD environment.

Lead data science efforts for HMAX: define use cases, build and validate ML/DL models (including time-series and predictive maintenance), industrialize and deploy models, mentor junior engineers, and collaborate with product, domain experts, and software teams to deliver production-ready analytics.

Support cost management for data centre projects including estimating, quantity take-offs, tender support, contract administration, cost tracking, monthly reporting, progress valuations, change control, value engineering, and maintaining audit-ready cost records under guidance of a Cost Manager.

Deliver full lifecycle cost management for Civil, Structural & Architectural (CSA) packages on a large data centre. Produce cost estimates, plans and feasibility studies; advise on design and value engineering; manage tendering, procurement and post-contract cost control including variations, payments, forecasts and final accounts; produce cost reports; identify risks and mitigation; coordinate with project teams, MEP, contractors and clients to ensure financial governance and value optimisation.

Sell Agentforce and Data 360 solutions by identifying and qualifying opportunities, conducting technical discovery, mapping customer needs to Salesforce AI and data capabilities, creating POVs, collaborating with account teams, and driving revenue through technical, enterprise B2B sales.

Design, build, test, deploy and support Xceptor-based automation solutions. Create documentation, reusable components, training materials, and run UAT/SIT. Troubleshoot production, integrate with systems, mentor and onboard team members, and expand capabilities to adjacent automation technologies.

Lead customer analytics and insights to support acquisition, retention, cross-sell, and lifecycle strategies. Build segmentation, propensity models, dashboards, and KPI frameworks; ensure data quality and PDPA compliance; partner with IT, distribution, and business leaders to operationalize insights and support strategic planning.

Develop and implement computer vision and machine learning models (object/change/anomaly detection, classification, behavior analysis, video stitching). Build POCs, run experiments in realistic environments, optimize model robustness, produce documentation and patentable ideas, stay current with AI advances, present findings, and (for senior profiles) provide technical mentorship.