Top Data Jobs in Singapore

Responsible for sales results in mid-size and large accounts, developing customer relations, analyzing sales data, and driving innovative products.

Lead the design and development of Data and Analytics Architecture, enhance data management and governance, and promote data-driven culture within the organization.

The Energy, Utilities & Operations Counsel will negotiate contracts related to energy and utilities, support compliance with regulations, and manage legal risks for Vantage Data Centers' operations.

The role involves leading data strategies and monetization initiatives, enhancing data literacy, and fostering AI adoption across FWD's business units.

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

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

The Cybersecurity Director manages Vantage Data Centers' global cybersecurity strategy and programs, ensuring compliance, risk management, and fostering a culture of security. Responsibilities include incident response, policy governance, and team leadership.

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

The Legal Counsel, APAC is responsible for handling legal transactions related to site selection and property acquisition, coordinating with stakeholders, and providing legal advice to support business objectives.

As a Digital Data Analytics Intern, you will support data scientists and manage operational data to build predictive models. Responsibilities include developing dashboards and participating in business use cases with engineers and chemists.

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.

The Data Architect will lead design and implementation of a Data Warehouse, ensuring data governance, security, and analytics capabilities while collaborating in a multinational agile team.

Data Engineers will design, build, and optimize data pipelines and frameworks for Data Warehouse and Data Lakehouse solutions, ensuring quality and efficiency while adhering to compliance standards.

The Senior Data & Reporting Analyst will support global entities in managing outsourcing risks by analyzing data, monitoring service performance, and ensuring compliance with regulations.

The Business Development Director will identify and foster relationships with AI-focused partners and clients, driving leasing and market initiatives in the APAC region.

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.

Lead management and technical planning of OKX's Web3 Data Platform, overseeing data processing, governance, and solutions for business growth.

The Customer Success Manager will onboard customers, drive success, manage operations, and act as a liaison with engineering and support teams.

As a Senior Data Scientist, you'll develop scalable machine learning algorithms focused on search and ranking, process datasets, deploy models, and run A/B tests.

The Senior Data Scientist will develop AI/ML models for dynamic pricing, automate model processes, build monitoring dashboards, and present findings.

The Senior Product Analyst will analyze data for product teams, design experiments, develop frameworks, and provide insights to improve customer service and business outcomes.

Analyze large datasets to extract insights, develop AI/ML models, predict demand, and enhance user experiences in deliveries and dining services.

As a Senior Data Scientist, you'll build scalable machine learning systems, analyze data, develop models, and collaborate with cross-functional teams in insurance product development.

The Senior Data Scientist will lead the development of chatbot technologies using machine learning and NLP to enhance user experience at Grab.

Collaborate with stakeholders to design and implement data pipelines, manage multi-technology environments, and optimize performance in an Agile setting.