Top Data Jobs in Singapore

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

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.

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

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

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.

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

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.

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 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 Principal Expert leads the data science strategy for MSAT, establishes best practices, delivers high-impact initiatives, and mentors teams in a regulated environment.

The role involves leading data-driven projects to optimize industrial processes, manage a data science team, and ensure effective stakeholder engagement for innovation.

The Data Partnerships Director will lead data partnership strategies across SEA, driving commercial growth and operational excellence while collaborating with various teams and partners.

Lead client-facing implementation projects for Pricing and Reference Data, optimizing processes, managing budgets, and ensuring effective communication across teams while mentoring junior members.

The Reference Data Services Analyst oversees customer account data management, supports operations, ensures data integrity, and prepares operational reports. They also guide the team and contribute to project work.

Manage data centre functional services and ensure effective information management. Drive transformation projects, oversee compliance, and optimize organizational information assets.

The Data Analytics Intern will assist with analytics operations through reporting, analysis, and AI automation to improve data processes.

As a Senior Data Analyst, you'll turn data into actionable insights, support decision-making, and enhance conversion rates through analytical practices and collaboration with teams.

The Sr. Manager, Strategy and Planning drives corporate and commercial strategy, manages partnerships, oversees strategic planning, and informs decision-making for the International Sports Medicine business.

The Data Analyst will extract and analyze operational data, present insights, develop dashboards, ensure data accuracy, and collaborate for improvements.

The Data Science Consultant supports marketing through data analysis, machine learning, and data engineering to drive business impact in luxury and consumer goods.

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