Top Data Jobs in Singapore

Lead AI and machine learning solutions for insurance analytics. Oversee model performance, drive data strategy, and collaborate regionally to enhance business growth through advanced analytics.

The Solutions Architect ensures client satisfaction during the sales cycle by providing technical support, training, and maximizing product utilization, contributing to revenue growth and client retention.

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 role involves analyzing datasets, developing dashboards, building data pipelines, and collaborating with teams to translate findings into business strategies.

Conduct data analysis and machine learning to improve account safety on WeChat, track fraudulent accounts, and detect anomalies.

The role involves designing and maintaining data pipelines, performing data transformations, and collaborating with various stakeholders to build scalable, data-driven products in an Agile environment.

The Senior Data Analyst will analyze trading products to drive business growth, develop data tools, and lead analysis projects independently.

The Senior Data Analyst conducts exploratory data analysis, applies statistical methods, utilizes Python and SQL, and communicates insights to stakeholders.

The Data Scientist role involves designing experiments, analyzing model performance, and integrating ML features while collaborating in an Agile environment.

The Senior Software Engineer for the Data Platform will design and build scalable data infrastructure, focusing on data processing, discovery, and lineage systems, ensuring robust code and system design.

As a Principal Data and AI Architect, you will design and implement enterprise-grade data and AI solutions for customers using Salesforce D360 and Agentforce, guiding executives and collaborating with teams to drive innovation and value.

This role focuses on driving enterprise data governance, including policies, training, AI governance, and collaboration with technology teams to implement data management practices.

The International Sector Analyst will conduct deep research to provide insights on industries, support investment decisions, and collaborate with data scientists and investment professionals.

The Software Engineer will provide technical support to customers, collaborate with engineering teams, and drive customer success initiatives while leveraging Python and SQL expertise.

The Account Executive will manage sales and relationships with Genetec customers, focusing on increasing revenue in assigned territory, provides support to sales managers, and ensures communication with corporate office.

Lead alliances engineering activities, assist with technical presentations, work with R&D to define product requirements, and develop sales strategies for storage solutions.

The Marketing Manager will oversee regional marketing initiatives in the APAC region, focusing on planning, execution, and vendor communication, especially in China.

The Client Project Manager leads client projects from concept to implementation, ensuring satisfaction, managing escalations, and coordinating teams, while promoting project services and managing change.

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.

Conduct data analysis using SQL and Python, automate processes, collaborate with teams, and assist with UAT migration tasks.

Support product managers in app testing, analyze user behavior data, create reports, conduct A/B testing, and improve app features based on user insights.

The role involves leading technical architecture for data and AI solutions, guiding customers on integration with Salesforce and external platforms, and developing prototypes and best practices.

The Data Analyst will transform business goals into technical logic for BI, design reports, guide users in data interpretation, and develop frameworks for growth and profitability.

As a Global Client Manager, you will build and manage client relationships, ensuring satisfaction and driving sales growth using strategic planning and Salesforce tools.

The role oversees AI and data risk governance, ensuring compliance with regulations while managing the AI and data lifecycle effectively across the organization.