Top Data Jobs in Singapore

As a Staff Data Platform Engineer, you will oversee the architecture and operation of data and AI platforms, influence decision-making, and mentor a high-performing team.

Lead the data science team by providing mentorship, influence strategy through data analysis, and help shape product strategies based on data insights.

As a Senior Data Platform Engineer, you will design and optimize data architectures, develop large-scale distributed systems, and mentor junior engineers while advocating for high-quality software practices.

The role involves designing and maintaining data pipelines, collaborating on data architecture, and integrating external data sources to optimize data operations.

As a Senior Machine Learning Engineer, you will analyze business needs, develop ML solutions, and collaborate on risk management in international payments.

As a Data Production Engineer, you will support automated trading systems, manage data processes, and collaborate with teams to prepare data for analysis.

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

The Head of AI/ML Solutions Enablement manages AI capabilities in APAC, translating business needs into technical specifications, driving adoption, and ensuring measurable business value while promoting AI literacy across teams.

The Head of AI Strategy and Commercialization will lead the development of AI roadmaps and commercialization strategies, ensuring alignment with business goals and compliance standards while managing senior stakeholder relationships and impactful AI-driven solutions.

Lead the Payments Optimization team at Airwallex, focusing on improving payment success rates through advanced data science techniques like contextual bandits and predictive modeling.

The Head of AI/ML Capabilities leads AI and machine learning strategies, overseeing development, deployment, and performance of AI/ML solutions to enhance business outcomes. This role involves managing a high-performing team, collaborating across departments, and advocating for innovative data-driven solutions while ensuring compliance and ethical guidelines are met.

Lead strategic program management initiatives for APAC's Chief Data & Analytics Office, overseeing project delivery, stakeholder collaboration, and resource management to achieve business objectives.

Develop next-gen data infrastructure solutions for AI initiatives, collaborating with data teams and ensuring system reliability and compliance.

The Senior Data Engineer will design and implement ETL processes, manage data pipelines, ensure data governance, and leverage AI in data systems while collaborating cross-functionally.

As a Data Engineer II, you'll design data models, manage ETL pipelines, ensure data governance, and explore integrations with AI to enhance data solutions.

Lead the Growth and Insights Department, performing advanced data analysis, translating insights into business strategies, and mentoring a high-performing team.

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.

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

The Data Steward manages data governance, quality, and analytics for the site's master and transactional data, ensuring compliance and driving operational excellence through data insights and digital solutions.

Lead data engineering activities including strategy execution, team management, architecture design, technology selection, performance optimization, and data governance for global wealth data management.

The Data Governance Officer develops data standards, manages data quality metrics, maintains documentation, and collaborates with teams to enhance data management and compliance.

Data Engineers will design, build, and optimize data pipelines and frameworks for Data Warehouse and Data Lakehouse solutions, ensuring quality and efficiency while adhering to compliance standards.

Develop, optimize, and maintain systems for capturing and processing market data. Collaborate with teams to ensure data accuracy for trading performance.

Supervise data centre operations, ensuring tasks are completed on time and within standards. Act as the first escalation point, drive automation and process improvements, and support compliance and operational reporting.

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