Top Data Jobs in Singapore

The Associate Data Engineer will contribute to Machine Learning and NLP projects, collaborate with cross-functional teams, and enhance threat detection through data-driven intel.

Seeking a Data Analyst to analyze data sets, generate reports, and support data-driven decision-making within the company.

The AI Data Specialist will perform tasks like data collection, evaluation, annotation, and tagging across various content types, primarily focusing on AI-generated content in Chinese.

Lead development of enterprise analytic data products, execute data strategies, and communicate technology concepts while guiding and mentoring teams.

As a Full-Stack Engineer, you will develop infrastructure for data science applications, integrating full-stack development, cloud infrastructure, and supporting data systems.

The role requires managing large Big Data projects, focusing on Hadoop ecosystem architecture and development with specific technologies like Spark, Hive, and Java, among others.

The Data Architect will design and maintain data architecture frameworks, create data models, and provide solutions for data architecture. Must drive change management and understand analytics trends.

The Big Data role requires expertise in Hadoop, Spark, and various development tools, focusing on Big Data analytics and architecture.

The Data Analytics Developer role requires experience in finance, specifically in banking and financial services, strong data analysis skills, and knowledge of PL/SQL.

The IBM FileNet/Data Cap Administrator is responsible for the installation, configuration, and administration of IBM FileNet and Datacap applications, as well as performing system maintenance and upgrades.

The Data Analyst will work with users and technical teams to implement data warehouse solutions, perform data quality checks, and deliver functional specifications. Banking experience is essential.

The Sr Big Data Engineer will develop data pipelines using big data technologies, manage projects, and implement data modeling for analysis while ensuring efficient querying and performance.

Collect and analyze data related to user behavior and market trends. Develop data visualizations and support A/B testing for product features.

This role involves designing, building, and maintaining data pipelines for compliance analytics, assessing existing data infrastructure, and collaborating with data scientists and engineers to ensure reliable data for compliance purposes.

Develop and validate analytical models for compliance use cases, translating regulatory requirements into analytical problems, and collaborating with ML engineers on implementation.

The Data Engineer is responsible for designing and maintaining scalable data systems, building data pipelines, and collaborating with teams to support analytics and AI use cases.

Lead research initiatives for APAC data centre markets, driving thought leadership, market intelligence, and strategic insights, while mentoring research staff.

The intern will solve deep learning and computer vision tasks, design and deploy models, develop tests, and communicate with the team.

The Senior Associate Data Centre Operations Analyst designs, analyzes, and maintains critical infrastructure systems, ensuring optimal functionality and compliance with safety standards in data center environments.

The role involves designing complex solutions, providing presales support, managing client POCs, and mentoring junior architects while influencing the sales team.

As a Senior Cross-Technology Technical Architect, you will design transformative solutions, support presales, manage client relationships, and mentor junior architects.

The Senior Associate Security Technical Services Systems Integration Specialist manages installations, configurations, and troubleshooting for security solutions, ensuring alignment with SLAs and project requirements. They also assist in documentation and project administration, focusing on technical design and security technologies.

The Data Science Intern will research machine learning, conduct data mining for user behavior, develop algorithms for AI serving, and enhance data analysis pipelines.

The role involves managing data ingestion pipelines, collaborating with scientists for data optimization, and ensuring efficient data collection to support AI model training.

Assist in developing backend services and APIs for WeChat, build large-scale data pipelines, and contribute to data streaming infrastructure while collaborating with teams.