Top Data Jobs in Singapore

The Software Applications Development Engineer develops and improves applications, tests them, communicates with stakeholders, and ensures alignment with client needs and performance requirements.

As a Transformation Consultant, you'll lead strategic projects, engage with clients, identify business opportunities, and support sales to enhance organizational capabilities.

Lead the business analysis function for AI and data initiatives: define roadmap, translate stakeholder needs into requirements, design use cases and solutions, ensure governance and compliance, drive adoption, training, and continuous improvement.

The Data Scientist will develop AI-driven solutions for supply chain optimization, utilizing advanced analytics, machine learning, and statistical modeling to deliver business impact.

As a Principal Data and AI Architect, you will design and implement enterprise-grade data and AI solutions for customers using Salesforce D360 and Agentforce, guiding executives and collaborating with teams to drive innovation and value.

The role involves selling data management and AI platforms to enterprise customers, focusing on new customer acquisition and account growth through strategic positioning of modern data solutions.

The role involves leading technical architecture for data and AI solutions, guiding customers on integration with Salesforce and external platforms, and developing prototypes and best practices.

Lead the development of AI and ML solutions for underwriting, manage a team of data scientists, and ensure compliance and governance in initiatives.

The Product Deployment Lead connects platform products to live projects, ensuring adoption and deployment readiness while translating operational feedback into improvements. They oversee regional alignment and product fidelity to enhance project outcomes and customer confidence.

The Senior Network Engineer oversees global network operations, leads large-scale projects, and ensures network reliability and performance. Responsibilities include designing network systems, managing migrations, collaborating with cybersecurity, and maintaining documentation.

The Master Data Specialist manages master data governance and continuous improvement across Asia, ensuring data accuracy and compliance while collaborating with various teams for operational excellence.

The Sales Strategist will drive complex deal-making and financial strategies, support sales teams, and optimize revenue for large transactions and partnerships.

Develop and optimize machine learning solutions for cybersecurity problems, deploying models, collaborating with teams, and ensuring continual improvement of cybersecurity strategies.

As an Associate Data Scientist, you will develop and optimize machine learning solutions, deploy models, and collaborate with cybersecurity teams to improve strategies.

Leverage structured and unstructured data to solve business problems, develop machine learning models, and work on AI applications for financial services.

As a Data Engineer at SHOPLINE, you'll be responsible for managing payments data, enhancing data quality, and constructing business evaluation metrics while collaborating across functions.

The Senior Data Scientist will identify fraud patterns, develop machine learning models, collaborate with technical teams, and provide analytical insights to mitigate risks in crypto transactions.

Lead design and implementation of Big Data architectures on Alibaba Cloud and AWS, optimize performance, ensure data quality and security, and build data pipelines.

The role involves developing and optimizing both offline and real-time data pipelines, ensuring data quality and collaborating across multiple teams to meet business requirements.

The Director of Data will lead a team of data engineers, manage the P&L of the Data practice, and ensure effective collaboration across teams to drive data solutions.

The Assistant Data Analyst Manager will lead an analytics team, manage stakeholder relations, oversee Power BI projects, and contribute strategically to data initiatives.

The Data Engineer designs and maintains data architectures and pipelines, processes datasets, optimizes ETL processes, and collaborates with teams to support data-driven decisions.

Lead AI and machine learning solutions for insurance analytics. Oversee model performance, drive data strategy, and collaborate regionally to enhance business growth through advanced analytics.

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.

Lead enterprise data and AI architecture strategy, ensuring alignment with business goals and guiding solution designs while managing cross-domain initiatives and compliance requirements.