Top Data Jobs in Singapore

As a Data Scientist at Kyndryl, you will analyze data, develop predictive models, and integrate machine learning features into production systems, focusing on privacy-enhancing technologies.

The Sales Executive will drive revenue acquisition, exceed sales targets, and develop strategies across territories, focusing on consultative sales for financial services solutions.

The intern will support data analysis and project implementation for the corporate data lake, including developing dashboards and integrating analytics techniques.

As a Junior Data Scientist, you'll assist the Data Science team in developing analytics solutions, deploying data science projects, and collaborating with stakeholders. Responsibilities include building data pipelines, conducting data analysis, and monitoring model performance.

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.

Lead Data Scientist responsible for developing and deploying multilingual large language models, building datasets, and improving AI safety alignment.

Lead AI and machine learning solutions for insurance analytics. Oversee model performance, drive data strategy, and collaborate regionally to enhance business growth through advanced analytics.

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.

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

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 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.

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.

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

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

Drive market success for Workday's Open Platform products by leading sales cycles, educating C-suite executives, and implementing adoption strategies for AI technologies.

Manage data center site selection activities, including sourcing, evaluation, due diligence, and acquisition strategy to support Vantage's expansion across APAC.

The Cybersecurity Director manages Vantage Data Centers' global cybersecurity strategy and programs, ensuring compliance, risk management, and fostering a culture of security. Responsibilities include incident response, policy governance, and team leadership.

The Data Analytics Senior Lead Engineer manages complex data projects, leads a team, and makes strategic recommendations based on data insights to improve product capabilities across multiple business regions.

Seeking a Data Engineer with 4-6 years of experience in big data technologies, data pipelines, and databases, mainly in the financial services sector.

The intern will analyze media performance, support AI tool development, contribute to modeling methodologies, and create data visualizations, while collaborating with teams.

The Data Engineering Intern will assist in understanding data infrastructure, develop ETL processes, analyze aviation data, and explore AI/ML applications. Responsibilities include documentation, collaboration, and continuous learning.