Top Data Jobs in Singapore

The Technical Product Manager is responsible for product outcomes across the lifecycle, involving product vision, stakeholder engagement, backlog prioritization, and technical leadership.

The Enterprise BD Manager will expand and maintain key enterprise accounts, driving growth through strategic relationships and complex solution structures in maritime risk and sustainability.

The AI Architect will develop AI solutions, support the global AI sandbox, provide technical guidance, and optimize AI products while collaborating with various stakeholders.

The Transformation Lead for AI in APAC will manage change and drive adoption of AI tools across the studios, engage stakeholders, and run training programs.

The Software Engineer will provide technical support to customers, collaborate with engineering teams, and drive customer success initiatives while leveraging Python and SQL expertise.

Support data scientists to structure and manage operational manufacturing data, build predictive ML models, develop dashboards/visualizations (Power BI/MS Power Platform), and assist project management and stakeholder communications during a January–June 2027 internship.

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.