Top Data Jobs in Singapore

Lead the development and delivery of reporting and analytics platforms, optimizing marketing campaigns, advising on MarTech solutions, and driving digital maturity for clients.

The intern will analyze media performance, assist in AI tool development, support media mix modeling, and enhance campaign insights with machine learning techniques.

The Data Engineering Intern will assist in understanding data infrastructure, develop ETL processes, analyze aviation data, and explore AI/ML applications. Responsibilities include documentation, collaboration, and continuous learning.

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

The GPS Associate will support market data through software solutions, automation, and collaboration within cross-functional teams while participating in a two-year developmental program.

This internship involves leveraging AI and data analytics for business decision-making, supporting use case testing, and contributing to data innovation initiatives.

The intern will support the Business Decisioning and Analytics team by operationalizing AI and data analytics best practices, contributing to data innovation initiatives, and learning about the impact of technology in banking.

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

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

The intern will engage in data-driven decision making, supporting analytics initiatives, creating dashboards, and providing insights to drive business value.

The Data Analyst II will resolve complex data issues, create visualizations, analyze datasets, ensure data quality, and support data infrastructure needs.

The role involves maintaining the Market Data Platform, developing scripts for automation, and engaging with stakeholders to optimize systems and document solutions.

Seeking a Data Engineer with 4-6 years of experience in big data technologies, data pipelines, and databases, mainly in the financial services sector.

Lead large-scale analytic projects focusing on driving business impact through strategic analysis and machine learning/NLP models in the financial sector.

The VP, Lead Functional Business Analyst will manage stakeholder relationships, oversee requirements analysis, and lead a team of business analysts focusing on AML and KYC processes within the bank.

Interns will utilize LLMs to summarize and compare regulatory texts, as well as build data augmentation pipelines for fraud models.

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.

Responsible for leading the development and maintenance of a data analytics platform, prioritizing product backlog, ensuring data quality and compliance, and collaborating with cross-functional teams for feature deployment.

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

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.

The intern will analyze media performance, support AI tool development, contribute to modeling methodologies, and create data visualizations, while collaborating with teams.

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

Responsible for managing the full lifecycle of data centre projects including planning, execution, quality compliance, and stakeholder communication.

The Scheduler is responsible for planning, scheduling, and monitoring Data Centre projects, ensuring timely delivery by coordinating with stakeholders and tracking progress.

The Data Science Internship involves modeling, AI innovation, data integration, and technical development while collaborating across teams to deliver insights and solutions in commodity trading.