Top Data Jobs in Singapore

Lead a Singapore-based team to design, build, and maintain scalable data infrastructure and self-service developer tooling. Implement robust, maintainable systems, ensure quality through testing and troubleshooting, collaborate cross-functionally, and mentor engineers while staying current with emerging technologies.

Lead design, build, and operate distributed, large-scale (batch/streaming) data platforms and pipelines. Drive technical decisions, performance optimization, data architecture (lakehouse), tooling standards, third-party integration, and mentor junior engineers to enable company-wide data-driven capabilities.

The Managing Principal will lead data projects, define client data strategies, conduct capability assessments, and influence data-driven culture in financial services.

As a Data Scientist at Micron, you'll develop AI-driven solutions in semiconductor manufacturing, build predictive models, and communicate analytical insights to stakeholders.

The Senior Data Scientist will develop predictive models, implement machine learning solutions, optimize production processes, and mentor junior staff to enhance data-driven decision-making in semiconductor manufacturing.

The intern will apply data science, statistics, and machine learning in semiconductor process development, focusing on data analysis and predictive modeling to enhance process accuracy.

As a Computer Vision Engineer, you will develop image processing solutions, apply machine learning techniques, and collaborate on engineering projects to enhance manufacturing innovation.

The Senior Data Scientist will develop digital twin solutions for semiconductor fabs, utilizing machine learning, predictive analytics, and simulation tools to optimize operations and enhance decision-making processes.

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

As a Data Scientist at Micron, you will analyze big data sources, develop software for data processing, deploy models, and extract actionable insights for product and service improvement.

The role involves developing technology policies, conducting research, coordinating AI efforts, and engaging with stakeholders to strengthen Singapore's digital economy.

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