Top Data Jobs in Singapore

The Data Scientist in SMAI OI will design AI solutions for scheduling and simulation, enhance manufacturing performance, and collaborate globally for continuous improvement.

As a Product Engineer in Advanced Data Analytics, you will utilize machine learning and AI for data analysis to enhance yield and quality. Responsibilities include developing algorithms, collaborating with cross-functional teams, promoting innovation, and driving initiatives to improve performance metrics.

The Senior Information Systems Engineer ensures effective IT support and maintenance of systems, focusing on installation, troubleshooting, and management of enterprise-level IT services.

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 Data Processing Specialist will assist in records management and data privacy efforts to support customer needs at Iron Mountain.

The Data Manager oversees engineering project data management, ensuring accurate data collection, configuration of data systems, and training project teams on management tools.

Manage and track real estate transactions and due diligence for data center site acquisitions across APAC. Build systems for reporting and stakeholder alignment.

The Director, Sales & Solutions Engineering drives technical solution development and execution, supports sales activities, and coordinates proposals to meet customer needs.

The role involves developing and optimizing a Data Governance Framework, providing consultation, and implementing governance solutions within the Global Operations team.

This role focuses on driving enterprise data governance, including policies, training, AI governance, and collaboration with technology teams to implement data management practices.

The Data Scientist will be involved in model development, experimentation, and applied research using Python and ML frameworks, while collaborating in a fast-paced product team environment focused on delivering features and solving user problems.

The Data Engineer will solve complex data challenges, optimize production data pipelines, enhance database performance, and ensure data accuracy for decision-making.

The Data Scientist will focus on ML model development, applied research, and exploratory pilots, working collaboratively in a product team.

As a Principal Transformation Consultant, you'll advise clients, lead workshops, and drive business transformation using deep industry knowledge and innovative solutions.

The Senior Data Platform Architect will design and implement data solutions on Azure, focusing on Databricks and IaC, while leading teams and ensuring best practices.

Lead alliances engineering activities, assist with technical presentations, work with R&D to define product requirements, and develop sales strategies for storage solutions.

The Marketing Manager will oversee regional marketing initiatives in the APAC region, focusing on planning, execution, and vendor communication, especially in China.

The Data Engineer Intern will design and implement data pipelines, build data models, optimize workflows using dbt Cloud, and contribute to AI initiatives while collaborating with stakeholders to resolve data issues.

As a Senior Associate Client Project Manager, you will lead client projects, manage stakeholder interfaces, and ensure project delivery meets quality and budget criteria while supporting client satisfaction.

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

Interns will work on defining AI projects, assessing AI applications, and contributing to AI solution deployment while collaborating with business stakeholders.

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

As a Senior Data Engineer, you will enhance data reliability by designing scalable pipelines, collaborating with data teams, ensuring data security and governance, while adhering to best practices and regulatory standards.

The Director of Data Engineering leads high-performing teams in creating scalable, secure, and resilient data architectures, integrating generative AI, and driving engineering excellence.

The Senior Data Engineer develops and maintains scalable data infrastructure and pipelines, ensuring data quality and accessibility for data-driven decision-making.