Top Data Jobs in Singapore

Lead AI and advanced analytics initiatives, develop and deploy data science solutions, and mentor a team in ethical AI practices. Focus on conversational AI, innovation, and aligning business objectives with technical solutions.

The Senior Data Engineer designs and builds data pipelines on cloud platforms, implements data lakehouse solutions, and collaborates with teams while ensuring data governance and quality checks.

The Master Data Specialist ensures accurate master data management by validating data for SAP, advising customers, and enhancing data quality while managing urgent requests.

Extract and analyze data to identify trends, develop dashboards, ensure data integrity, and provide insights for operational improvements.

Lead a rapid‑response PMO to drive enterprise transformation across AI, data analytics, digital assets and platform initiatives. Diagnose complex cross‑domain problems, prototype and scale production solutions, institutionalise reusable architectures and governance, manage partners, and align stakeholders to accelerate secure, compliant, and enterprise‑grade innovation.

Lead the development and deployment of Generative AI applications, collaborate with teams to deliver business use cases, and enhance data science skills.

The Assistant VP, Data Scientist will develop and deploy AI applications, collaborate with stakeholders, and lead AI initiatives within the bank.

The R&D Data Science Engineer designs and optimizes data systems, develops algorithms, and collaborates on digital health technology projects to improve drug development processes.

The DevOps Engineer is responsible for designing, implementing, and maintaining software solutions based on business requirements, utilizing multi-technology applications and CI/CD processes.

The Director of Data Product Management at OKX is responsible for overseeing data foundation management, enabling data-driven growth, and leading a team to enhance data productization and quality management, while promoting a data-driven culture across the organization.

The Data Scientist will identify new data sets, build processes for data collection, analyze data for potential applications, and research alpha signals for portfolio managers.

The Data Analyst will analyze financial datasets, create data pipelines, engage with vendors, automate data checks, and support investment teams.

As a Senior Data Scientist, collaborate with an international team to develop and implement data science solutions for semiconductor manufacturing, focusing on quality and yield improvements.

The Scheduler is responsible for planning, scheduling, and monitoring Data Centre projects, ensuring timely delivery by coordinating with stakeholders and tracking progress.

The Senior Manager will oversee the Group Motor pricing strategy, apply data science for pricing, and ensure compliance with governance and regulations while partnering with stakeholders.

This role focuses on processing Policy Services requests, managing customer change requests, and driving process improvements within Policy Services team.

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.

The Sr Data Scientist will develop data-driven solutions for improving semiconductor manufacturing yield, applying optimization and machine learning techniques, and collaborate with engineers and IT to drive decision-making and model deployment.

As a Data and Analytics Intern, you will support analytics initiatives, create dashboards, provide insights, collect data, and drive ad-hoc analysis.

The Document Manager oversees document control and quality assurance for construction projects, ensuring compliance and effective documentation management.

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.