Top Data Jobs in Singapore

This role focuses on data collection for model training operations, requiring the integration of infrastructure to support the ingestion pipeline and collaboration with AI scientists.

As a Senior Data Scientist, collaborate with an international team to develop and implement data science solutions for semiconductor manufacturing, focusing on quality and yield improvements.

Lead Prudential's AI Lab, driving development of AI solutions, managing sandbox operations, overseeing product quality, mentoring teams, and engaging with external AI talent.

Join Iron Mountain as a Data Processing Specialist, contributing to records management and digital transformation for diverse customers. Enhance your skills in a supportive culture.

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

Assist in data analysis, perform data validation, collaborate with teams, and create visualizations for business insights.

The role involves data analysis to support HR decisions, establishing KPIs, creating reports, and improving HR processes with a focus on data-driven insights.

The Lead Data Scientist II will leverage advanced analytics and data science to support business processes, optimize operations, and lead technical initiatives. Responsibilities include problem framing, data assessment, model development, and advising business leaders on analytics solutions.

Conduct data analytics for audits, drive AI integration, participate in walkthroughs, document tests, and collaborate with the audit team.

The Senior DevOps Engineer will build and maintain backend infrastructure for AI data pipelines, support model training and production, and develop monitoring systems.

The Director of Data Product Management at OKX is responsible for overseeing data foundation management, enabling data-driven growth, and leading a team to enhance data productization and quality management, while promoting a data-driven culture across the organization.

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.

As a Software Engineer for Data Orchestration, you'll develop systems for high volume data processing, focusing on real-time fraud monitoring tools with a DevOps approach and collaborative workflows.

The Data Scientist will identify new data sets, build processes for data collection, analyze data for potential applications, and research alpha signals for portfolio managers.

The Data Analyst will analyze financial datasets, create data pipelines, engage with vendors, automate data checks, and support investment teams.

Design, develop, and test software systems and micro-services, ensuring high-quality delivery in a collaborative team environment. Requires expertise in cloud services, programming languages, and software architecture.

The Senior Client Project / Program Manager leads complex projects and programs, ensuring delivery, client satisfaction, and managing stakeholder communications throughout the project lifecycle.

Lead a unified data and experimentation framework across the company, engaging with core business lines to support data-driven decision-making, while ensuring data quality and governance.

As a Senior Client Manager, you will manage and grow client relationships, drive expansion, and ensure satisfaction throughout the client lifecycle. You'll leverage sales tools, develop effective communications, and contribute to revenue growth while coordinating internal and external resources for sales opportunities.

The Intern/Apprentice assists with various tasks in a specific area, gaining practical experience and knowledge while supporting team projects, client engagement, and administrative duties.

The role involves developing and optimizing a Data Governance Framework, providing consultation, and implementing governance solutions within the Global Operations team.

Manage and track real estate transactions and due diligence for data center site acquisitions across APAC. Build systems for reporting and stakeholder alignment.

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 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.