Top Data Jobs in Singapore

Support statistical analysis and interpret multi-source industry data to generate insights. Help govern dashboard user access and assist on ad-hoc projects under supervision.

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.

Collaborate with clients to design and implement data architectures, ensuring data quality and governance while providing technical leadership to data engineering teams.

As a Senior Consultant, you will lead enterprise transformations, engage with clients, manage relationships, and deliver business solutions aligning with client needs.

The Component Engineer in Data Analytics oversees material data integrity and analytics, developing ETL pipelines, leading data cleansing, and creating dashboards to support strategic decision-making across engineering and procurement teams.

As a Data Engineer, you will design and maintain data pipelines, implement data models, develop APIs, and collaborate with cross-functional teams to optimize data solutions for governmental projects.

Join Activate Interactive as a Data Engineer to solve complex data challenges, optimize data pipelines, and enhance database performance for government agencies. Responsibilities include diagnosing data issues, debugging failures, and developing workflows for data accuracy.

The Data Scientist will develop ML models, conduct applied research, collaborate within product teams, and work on exploratory projects with government agencies.

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

As a Data Engineer, you will develop data pipelines, transform analytics for business growth, automate reporting, and collaborate with stakeholders to deliver data-driven insights.

Lead and manage data migration projects, gathering requirements, coordinating teams, defining data mappings, and ensuring compliance through testing.

Lead data analysis projects, oversee data migration, ensure data quality, and manage project teams while collaborating with stakeholders.

Collaborate with multiple teams to develop data requirements, manage data governance, and enhance efficiency through data development tools.

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

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 translating business cases into technical solutions utilizing various technologies. Support data warehouse design, address performance issues, and contribute to data management standards.

The Cloud Sales Specialist drives sales in Hybrid Cloud solutions, builds relationships with clients, and collaborates with internal teams to meet client needs and achieve sales targets.

The Networking Sales Specialist identifies new opportunities, supports the sales process, builds client relationships, and leads conversations to drive business growth.

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

The Associate Systems Integration Specialist learns to manage configurations, installations, and break/fix events and supports senior engineers during the project lifecycle.

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 Data Processing Specialist will assist in records management and data privacy efforts to support customer needs at Iron Mountain.

This role involves designing and developing AIML/GenAI solutions, collaborating with engineering teams, and translating business needs into AI-driven solutions.

Design and develop GenAI solutions for applications and tools, collaborate with teams, optimize AI pipelines, and document workflows.

Lead stakeholder relationships, analyze business capabilities, manage compliance technology needs, coach team members, and ensure compliance with regulatory expectations in banking.