Top Data Jobs in Singapore

The APJC Communications Director will lead communications efforts across the Asia-Pacific region, advising leadership and managing PR agencies, while supporting executive visibility and regional insight.

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

Lead enterprise data and AI architecture strategy, ensuring alignment with business goals and guiding solution designs while managing cross-domain initiatives and compliance requirements.

Lead the strategy and architecture for enterprise data and AI, focusing on design authority, governance, metrics, and capability building.

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.

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.

This internship entails analyzing data systems, improving efficiency, managing stakeholders, and ensuring compliance within the GPS Risk, Control & Performance Analytics team.

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.

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.

This internship focuses on implementing ML solutions for security and content moderation in WeChat. Tasks include GNN applications, model optimization, and collaboration within a team.

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 Manager, Data Engineer will design data integration solutions, manage data pipelines, lead initiatives, and collaborate with stakeholders in a hybrid setting.

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

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.

The Data & Reporting Consultant will design and implement reporting architecture, develop interactive dashboards, and manage data models while engaging with stakeholders in Wholesale Banking.

Design and architect scalable backend services, develop robust governance systems, build SaaS solutions, and mentor junior engineers to enhance IoT platform capabilities.

The IT Engineer will manage and support database systems, ensure high availability, troubleshoot issues, and implement database solutions while collaborating with site customers and improving database performance and operations.

The Data Scientist in SMAI OI will design AI solutions for scheduling and simulation, enhance manufacturing performance, and collaborate globally for continuous improvement.

Install and upgrade database systems, manage access and backups, diagnose errors, ensure compliance, and support database operations. Develop solutions and automate processes to enhance performance and reliability.

As a Product Engineer in Advanced Data Analytics, you will utilize machine learning and AI for data analysis to enhance yield and quality. Responsibilities include developing algorithms, collaborating with cross-functional teams, promoting innovation, and driving initiatives to improve performance metrics.