Top Data Jobs in Singapore

Interns will utilize LLMs to summarize and compare regulatory texts, as well as build data augmentation pipelines for fraud models.

The role involves driving data governance strategy and practices across the Bank, collaborating with cross-functional teams, leading data quality initiatives, and mentoring analysts while ensuring compliance with data governance standards and improving data quality.

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

Lead AI initiatives in the insurance sector, develop predictive models, and support data strategy while collaborating with global teams to drive analytics solutions.

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

The Data Analyst supports Compliance Asia by analyzing client activity data to ensure compliance with AML, KYC, and regulatory requirements. Responsibilities include data collection, analysis, report preparation, and collaboration with compliance and IT teams.

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

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

The role involves leading AI integration, data analysis, and collaboration with stakeholders while mentoring junior analysts and optimizing business processes.

Lead a Data Science team to drive analytics initiatives, integrate technology, and enhance collaboration for business value in the semiconductor industry.

Lead project workstreams, manage junior team members, conduct analysis, facilitate workshops, and develop strategic recommendations in consulting for various industries.

The Managing Principal leads client portfolios, drives revenue growth, sets strategic priorities, mentors leaders, and represents the firm. Requires deep industry expertise, particularly in banking and insurance.

The Global Client Manager is responsible for generating revenue through high bandwidth IP transit sales, managing accounts, and ensuring customer satisfaction while coordinating with internal teams.

The Senior Associate Security Technical Services Systems Integration Specialist manages installations, configurations, and troubleshooting for security solutions, ensuring alignment with SLAs and project requirements. They also assist in documentation and project administration, focusing on technical design and security technologies.

The Data Scientist will develop and deploy ML models, conduct data analysis, optimize air traffic solutions, and maintain pipelines in a collaborative environment.

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.

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

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

Assist in smart manufacturing projects focusing on automation and digital solutions. Involves data collection, analysis, and creating dashboards. Gain insights into production and operational excellence.

As a Digital Data Analytics Intern, you will support data scientists and manage operational data to build predictive models. Responsibilities include developing dashboards and participating in business use cases with engineers and chemists.

Drive revenue and exceed targets through business development, strategizing, client engagement, presentations, and managing contracts while collaborating with cross-functional teams.

The Data Analytics Lead will develop data platforms, maintain ETL processes, analyze data for insights, and collaborate with stakeholders to drive business decisions.

Senior Data Scientists at Thoughtworks leverage machine learning and statistical techniques to generate business insights, collaborate with teams, and manage data quality, while mentoring juniors.

Responsible for managing the full lifecycle of data centre projects including planning, execution, quality compliance, and stakeholder communication.