Top Data Jobs in Singapore

This role involves building a centralized risk platform with advanced analytics and machine learning, conducting risk analysis, and optimizing risk strategies while collaborating with internal and external stakeholders.

Oversee cross-functional initiatives for the Realtime Data Platform, define strategic roadmaps, scale engineering teams, and develop technical strategies for real-time data analysis.

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.

The Staff Data Scientist will support the CEO and regional leads with data analysis, causal inference, forecasting, and mentoring juniors. Responsibilities include building forecast tools and data products while collaborating with various teams.

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.

The Cybersecurity Director manages Vantage Data Centers' global cybersecurity strategy and programs, ensuring compliance, risk management, and fostering a culture of security. Responsibilities include incident response, policy governance, and team leadership.

Manage data center site selection activities, including sourcing, evaluation, due diligence, and acquisition strategy to support Vantage's expansion across APAC.

The Data Engineering AVP will lead technical delivery for large data projects, focusing on developing cloud solutions and managing multiple vendor teams in a financial transformation context.

As a Digital eComm Intern, you will analyze eShop and Marketplace performance in APAC, providing insights and recommendations to improve metrics.

Analyze and visualize data to support supply chain decisions, automate ETL processes, and communicate insights using powerful tools.

As a Data Scientist at Kyndryl, you will analyze data, develop predictive models, and integrate machine learning features into production systems, focusing on privacy-enhancing technologies.

This role involves leading multi-disciplinary teams in complex consulting engagements, managing relationships with CXO-level clients, driving profitable growth, and ensuring operational excellence within Kyndryl's largest accounts.