Top Data Jobs in Singapore

Develop and maintain data pipelines, support data collection, build datasets for AI evaluation, and create dashboards for monitoring product metrics.

As a Data Engineer (Compliance), you will manage SQL scripts for compliance monitoring, handle data governance, and ensure regulatory compliance while collaborating with various stakeholders.

The Principal Data Consultant will lead the Data Quality practice, manage the Data Lakehouse's operations, and engage with stakeholders to ensure data integrity and strategic alignment.

As a Senior Product Engineer, you will lead a team in advanced data analytics to improve yield and quality through machine learning and AI, develop algorithms, and enhance data infrastructure while collaborating with cross-functional teams.

Lead a team to enhance product yield and quality through advanced data analytics, machine learning, and AI. Develop algorithms and collaborate cross-functionally to drive improvements and innovation in HBM product engineering.

Lead the Service Management practice following ITIL v4 principles, ensuring performance management and continuous improvement across services while managing stakeholders and suppliers for successful service delivery.

Lead the design of AI infrastructure solutions using NVIDIA and HPE technologies for enterprise clients, focusing on hardware architecture, software integration, and cloud solutions.

Lead AI initiatives in the insurance sector, develop predictive models, and support data strategy while collaborating with global teams to drive analytics solutions.

Drive market success for Workday's Open Platform products by leading sales cycles, educating C-suite executives, and implementing adoption strategies for AI technologies.

Manage data center site selection activities, including sourcing, evaluation, due diligence, and acquisition strategy to support Vantage's expansion across APAC.

The Data Manager oversees engineering project data management, ensuring accurate data collection, configuration of data systems, and training project teams on management tools.

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 Sales Specialist drives revenue through new business development and account expansion, engages prospects, presents solutions, and collaborates with teams to deliver client experiences.

This role focuses on driving enterprise data governance, including policies, training, AI governance, and collaboration with technology teams to implement data management practices.

The Logistics Data Analyst is responsible for data collection, analysis, and visualization to support decision-making and improve company processes.

The Data Science Senior Analyst conducts strategic data analysis, develops recommendations, drives analytics initiatives, and solves complex system issues while providing user support and ensuring quality in project execution.

The Data Engineering AVP will lead technical delivery for large data projects, focusing on developing cloud solutions and managing multiple vendor teams in a financial transformation context.

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.

Develop and deploy product disposition solutions, advance data analysis using AI/ML, mentor team members, and collaborate cross-functionally to enhance product quality and yield.

This internship involves supporting data collection, AI solution development, stakeholder collaboration, and ensuring product readiness through testing and documentation.

The Technical Specialist leads certification projects, mentors staff, establishes client relationships, and promotes CSA Group services, enhancing customer satisfaction and sales targets.

The HSE Manager oversees health, safety, and environmental compliance for data centre construction, conducts risk assessments, and promotes safety culture.

The role involves collecting and analyzing complex data to provide insights, creating dashboards, and collaborating with teams to drive digital growth and strategy.

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

Assist in gathering, organizing, and analyzing sustainability data from global properties, ensuring data quality and supporting reporting processes.