Top Data Jobs in Singapore

As a Data Analyst at Manus, you'll analyze business metrics and user behavior, conduct A/B tests, and create dashboards to drive product strategy and growth.

Lead the design and management of data and analytics solutions in banking, focusing on architecture, team leadership, and regulatory compliance. Develop AI/ML applications and ensure scalable platforms for enterprise use.

Develop and implement statistical models for data analysis, collaborate with teams for process improvement, and present findings to management. Stay updated on data science and machine learning advancements.

The Data Entry Specialist will cleanse and update customer records, validate data accuracy, resolve discrepancies, and ensure compliance with data governance, all while handling sensitive information safely.

The Data Strategy & Analytics Manager drives digital growth through analytics in marketing, campaign performance, and customer journey optimization. They lead data initiatives to enhance acquisition effectiveness, support strategic decision-making, and optimize user experiences, overseeing collaboration across various teams.

The role involves selling Hybrid Data Center solutions, maintaining client relationships, and achieving sales targets by understanding customer needs and technology offerings.

Lead AI and advanced analytics projects in health domain, focusing on model development, ethical AI practices, and leading a team of data scientists.

The intern will support AI & Data projects by analyzing data, developing machine learning models, and assisting with data visualization and preprocessing.

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

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.

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.

The Data Engineer will design and maintain data pipelines, perform data transformation, integrate data, and collaborate with various stakeholders in an Agile environment.

The Document Controller coordinates document management across Design Engineering and Construction projects, ensuring accessibility, compliance, and effective communication among teams and stakeholders.

As a Data Engineer (Compliance), you will manage SQL scripts for compliance monitoring, handle data governance, and ensure regulatory compliance while collaborating with various stakeholders.

As a Data Scientist, you will translate business problems into data analytics solutions, manage the ML lifecycle, and improve driver incentives through statistical analysis.

The Data Engineer designs and maintains data pipelines and systems, transforming raw data into insights by collaborating with project teams and utilizing various data processing tools.

The role involves managing KYC processes, coordinating transaction execution tasks, maintaining databases, and providing administrative support to the Capital Markets team.

The Senior Data Compliance Analyst is responsible for designing product frameworks for data compliance, monitoring regulations, translating legal requirements into product specifications, and ensuring the upkeep and optimization of compliance products while liaising with cross-functional teams.

The Associate Platform and Data Engineer will design, develop, and maintain high-performance analytics solutions, manage data architectures, and support data operations. They will work with cross-functional teams and handle large data sets while ensuring quality throughout the project lifecycle.

The Data Engineer will design, build, and maintain data warehouses, perform ETL processes, and collaborate with other teams to ensure efficient data management and integration.

As a Customer Success Manager, you'll manage strategic accounts, enhance customer satisfaction, execute account strategies, and foster collaboration with internal teams for business growth.

As a Principal Data and AI Architect, you will design and implement enterprise-grade data and AI architectures for Salesforce customers, collaborating with various teams to facilitate integration and promote agent interoperability.