Top Data Jobs in Singapore

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

As a Digital eComm Intern, you will analyze eShop and Marketplace performance in APAC, providing insights and recommendations to improve metrics.

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

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.

The Data Engineering Intern will work with databases, SQL, and programming languages like Python, focusing on data processing frameworks and tools.

Design and develop full stack web applications for data-driven and AI initiatives, working with data scientists and business stakeholders.

This role drives global market data sales, develops APAC revenue streams, manages client relationships, and collaborates with internal teams.

The Senior Data Engineer will design and build large-scale data pipelines, leveraging cloud platforms and technologies like Databricks and AWS, ensuring effective data solutions for clients.

The Consultant/Senior Consultant will manage projects, develop practice-related content, and enhance data delivery methodologies, ensuring timely and quality project completion.

The role involves leading data governance and finance transformation projects, supporting client initiatives, and implementing enterprise data strategies for financial institutions.

The Forward Deployed Software Engineer will implement and optimize client deployments, troubleshoot issues, and develop integrations, serving as the primary technical contact for customers.

Develop and implement computer vision algorithms, evaluate model performance, and integrate solutions into larger systems, while maintaining documentation and staying updated on technology advances.

The Senior Data Scientist will develop AI solutions for gamers, focusing on Reinforcement Learning and Generative AI, collaborating closely with game developers and engineers.

The Senior Data Engineer will lead AI Data Engineering initiatives, architect and manage data infrastructure, and optimize data pipelines for AI and ML applications using various tools and technologies.

The Data Engineer will optimize data pipelines, collaborate on cloud infrastructure, and implement solutions for real-time data processing.

Develop and implement Data Warehouse solutions for Risk Control, focusing on architecture, real-time applications, and report data management.

Develop and maintain internal Data Platform components, ensuring system scalability, high availability, and integration with data warehouses and orchestration systems. Write maintainable code and support deployment and monitoring processes.

Lead the planning and governance of data platforms, translating business strategies into data product solutions, collaborating cross-functionally, and driving data literacy across the organization.

As a Senior Data Business Partner, you will connect business strategy with data execution, managing metrics and ensuring data integrity to support decision-making and growth.

The Data & AI Scientist will analyze datasets, create AI products, develop analytics solutions, and collaborate with teams to optimize operations.

As a Senior Networking Technology Sales Specialist, you will pursue leads, generate pipeline opportunities, and engage with clients to tailor solutions while leveraging a team-selling approach.

Lead development of advanced digital twin models and AI-driven solutions for semiconductor fab operations, enhancing performance and decision-making.

This internship involves analyzing data to provide insights, supporting digital marketing efforts, and presenting findings to internal stakeholders.

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