Top Data Jobs in Singapore

The Managing Principal will drive change for clients through consulting, develop strategies, mentor, and leverage expertise for business transformation.

Leverage structured and unstructured data to solve business problems, developing AI applications, models, and monitoring their performance using MLOps processes.

The Data Science Senior Analyst conducts strategic data analysis, develops recommendations, drives analytics initiatives, and solves complex system issues while providing user support and ensuring quality in project execution.

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

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

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

The HSE Manager oversees health, safety, and environmental compliance for data centre construction, conducts risk assessments, and promotes safety culture.

The Revenue Operations Manager will oversee sales operations, forecasting, pipeline management, and analytics, driving continuous improvement to maximize revenue within the organization.

The Principal Data Consultant will lead the Data Quality practice, manage the Data Lakehouse's operations, and engage with stakeholders to ensure data integrity and strategic alignment.

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.

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

The intern will support data management and market analytics in the chemical industry, contributing to forecasts and process improvements while collaborating with a global team.

As a Data Engineer (Compliance), you will manage SQL scripts for compliance monitoring, handle data governance, and ensure regulatory compliance while collaborating with various stakeholders.

Lead the lifecycle of data products from discovery to delivery, collaborating cross-functionally to enhance AI-driven tools and analytics.

Lead the design of AI infrastructure solutions using NVIDIA and HPE technologies for enterprise clients, focusing on hardware architecture, software integration, and cloud solutions.

Lead the Service Management practice following ITIL v4 principles, ensuring performance management and continuous improvement across services while managing stakeholders and suppliers for successful service delivery.

As a Senior Product Engineer, you will lead a team in advanced data analytics to improve yield and quality through machine learning and AI, develop algorithms, and enhance data infrastructure while collaborating with cross-functional teams.

Lead a team to enhance product yield and quality through advanced data analytics, machine learning, and AI. Develop algorithms and collaborate cross-functionally to drive improvements and innovation in HBM product engineering.

As a Data Researcher intern, you will assist in delivering content, conducting research, testing data accuracy, and compiling reports related to companies and financial markets.

The Senior Data Scientist leads technical initiatives, develops deep learning models, and mentors junior team members while working directly with customers to build impactful AI solutions.

The Principal Data Scientist will lead technical initiatives, develop deep learning models, manage data pipelines, and mentor junior team members while collaborating with customers and engineers to create impactful AI-driven solutions.

The Data Analyst will develop frameworks to evaluate AI product performance, analyze unstructured data, and support product strategies through data-driven insights.

Design and develop data warehouse systems, optimize data processing, and collaborate with teams to deliver efficient data solutions.

Develop and maintain data pipelines, support data collection, build datasets for AI evaluation, and create dashboards for monitoring product metrics.