Top Data Jobs in Singapore

The Capital Markets Manager supports debt financing transactions, collaborates with finance teams, and monitors market conditions to aid capital planning and compliance.

The role involves developing AI models, translating business problems into data science solutions, and integrating models into a marketing platform for influencer marketing.

As a Global Client Manager, you will build and manage client relationships, ensuring satisfaction and driving sales growth using strategic planning and Salesforce tools.

The Technical Services Systems Integration Specialist provides technical support, engages with clients, escalates issues, and mentors junior engineers while focusing on technical implementations across multiple technologies.

The role involves resolving client solution requirements, managing installations and troubleshooting issues across multiple technologies, focusing on collaboration and networking solutions.

Join the Sanofi Manufacturing Innovators Program as a Data Engineer Trainee, focusing on data integration, process analysis, and collaboration with cross-functional teams in biopharma manufacturing.

The Engineering Data Analyst manages engineering data integrity across PLM/ERP systems, develops data analytics solutions, leads data cleansing initiatives, and partners with various teams to improve data-driven decision-making and supply chain resilience.

The Component Engineer will manage component data integrity, develop data pipelines, analyze material data, and create dashboards for supply chain insights.

As a Senior Data Analyst, you'll influence business decisions by providing insights through data analysis and visualizations, working closely with cross-functional teams.

The Lead Data Scientist will develop multilingual AI models, focusing on dataset creation and model training, while collaborating with product and engineering teams for deployment.

The Manager, Smart Workplace oversees go-to-market strategies, drives sales team performance, and manages operations to achieve business goals.

The Client Manager at NTT DATA will build and nurture client relationships, drive sales growth, and ensure client satisfaction by leveraging technical solutions and strategic planning across various solutions and markets.

As a Client Manager, you will build relationships with clients, drive sales growth, utilize tools like Salesforce.com, and ensure client satisfaction while meeting revenue targets.

Assist in identifying business problems, propose analytics solutions, collaborate with data engineers, develop ML models, create dashboards, and innovate generative AI applications.

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

Lead the development and delivery of reporting and analytics platforms, optimizing marketing campaigns, advising on MarTech solutions, and driving digital maturity for clients.

Lead data science initiatives, including project scoping, model development, and team training. Drive impactful data-driven business decisions.

Responsible for the vision and roadmap of on-chain data products, analyzing user needs, and collaborating across teams to improve product offerings.

Responsible for leading the design and maintenance of enterprise data warehouse, collaborating with stakeholders, ensuring data quality, and optimizing data integration processes.

As a Product Manager for the Data Platform, you will collaborate with teams to define requirements, track metrics, improve data quality, and manage the product roadmap.

The intern will assist in data collection, preparation, and basic analysis, while supporting dashboard development and documentation for analytics processes.

The Senior Data Scientist will deliver analytics solutions, develop scalable data products, and work on machine learning and statistical models to solve operational challenges.

As a Data Scientist Manager, you will develop predictive models using large datasets, analyze trends, and collaborate with stakeholders to drive business decisions.

The Computer Vision Engineer will develop and optimize real-time video camera software, focusing on algorithms for image processing and model training, while driving innovation within the team.

The Data Scientist role involves designing AI-driven solutions for gaming, using Reinforcement Learning and collaborating with engineers to enhance game experiences.