Top Data Jobs in Singapore

The Analyst, Data Client Services supports Aladdin users with investment related inquiries, collaborates on projects, and enhances systems for efficiency while maintaining strong client relationships.

The Senior Data Scientist will analyze complex data sets, apply statistical techniques, and collaborate with teams to influence product strategy and improve business outcomes.

Lead Prudential's AI Lab, driving development of AI solutions, managing sandbox operations, overseeing product quality, mentoring teams, and engaging with external AI talent.

As a Senior Data Scientist at Airwallex, you will partner with executives and teams to manage data, apply advanced statistical methods, and leverage AI for insights while fostering a culture of technical excellence and clear communication.

The Senior Data Scientist will partner with executives and teams to leverage data, enhance forecasting, and build data products, utilizing AI insights for business efficiency.

The Vice President will lead Data Client Services, ensuring high-quality client support, managing expectations, and driving initiatives for operational efficiency while developing future leaders.

Lead and develop scalable data infrastructure, enhance self-service capabilities, ensure software quality, and mentor engineers while collaborating across teams.

Lead the design of DevOps strategy and develop cloud infrastructure. Responsible for operational management and building consensus across teams.

The role involves developing an analytics platform, optimizing marketing campaigns, advising on MarTech strategies, and leading client workshops, with a focus on enhancing client digital maturity.

Develop and implement data science models and algorithms, analyze complex data sets, ensure data quality, and collaborate with stakeholders to optimize data processes.

The Logistics Data Analyst is responsible for data collection, analysis, and visualization to support decision-making and improve company processes.

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 lifecycle of data products from discovery to delivery, collaborating cross-functionally to enhance AI-driven tools and analytics.

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.

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

The Senior Data Scientist leads technical initiatives, develops deep learning models, and mentors junior team members while working directly with customers to build impactful AI solutions.

The Principal Data Scientist will lead technical initiatives, develop deep learning models, manage data pipelines, and mentor junior team members while collaborating with customers and engineers to create impactful AI-driven solutions.

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 Cloud Services Sales Specialist identifies, develops, and closes cloud managed services deals, engaging with clients and internal teams. They build strong client relationships and drive the sales process while addressing client needs and objections.

Lead the Service Management practice following ITIL v4 principles, ensuring performance management and continuous improvement across services while managing stakeholders and suppliers for successful service delivery.

Lead the design of AI infrastructure solutions using NVIDIA and HPE technologies for enterprise clients, focusing on hardware architecture, software integration, and cloud solutions.

The Senior Associate Business Intelligence Analyst transforms data into insights for decision-making, creating reports and visual analytics, and collaborating with teams to optimize data use.

The role involves collecting and analyzing complex data to provide insights, creating dashboards, and collaborating with teams to drive digital growth and strategy.

The role involves bridging clients and developers to create impactful software solutions, defining roadmaps, and ensuring alignment with business objectives. Responsibilities include stakeholder engagement, managing product backlogs, architecting AI use cases, and ensuring traceable AI decision-making.

The AI Architect will develop AI solutions, support the global AI sandbox, provide technical guidance, and optimize AI products while collaborating with various stakeholders.