Top Data Jobs in Singapore

Analyze large datasets to extract insights, develop AI/ML models, predict demand, and enhance user experiences in deliveries and dining services.

As a Senior Data Scientist, you'll build scalable machine learning systems, analyze data, develop models, and collaborate with cross-functional teams in insurance product development.

The Senior Data Scientist will lead the development of chatbot technologies using machine learning and NLP to enhance user experience at Grab.

As a Fraud Data Analyst, you will analyze transaction data to detect fraud, design BI dashboards, and support compliance initiatives while working within cross-functional teams.

As a Data Analytics Intern, you will support data transformation processes, manage data structure, and create visualizations and reports to meet stakeholders' insights needs.

As a Data Engineer Intern, you'll develop data pipelines, storage systems, and backend applications to support Razer's AI gaming products, leveraging cloud technologies and industry best practices.

Collaborate with quantitative researchers and traders to design datasets, code for data extraction and management, and solve data issues.

Analyze complex datasets to provide insights, ensure data accuracy, collaborate with stakeholders, and deliver actionable recommendations to improve data analysis practices.

Develop and deploy interactive data visualizations, manage projects, perform data analysis, and collaborate with teams to optimize manufacturing processes.

The Business Data Analyst will analyze data to inform business strategy, build reports and dashboards, and provide insights for decision-making.

Assist in organizing and cleaning advertising data, create dashboards, and explore AI usage in data analytics and reporting.

The intern will improve AI prompts, organize advertising data, create dashboards, learn about data usage in advertising, and document effective AI tools.

The intern will build data pipelines, orchestrate workflows, model data, and collaborate for data discovery, gaining exposure to modern data and AI technologies.

The Data Analyst will design Power BI dashboards, optimize SQL queries, manage ETL processes, and provide insights on customer behavior and campaign performance.

The role involves managing data architecture, optimizing analytics and compliance systems, and collaborating to enhance AML processes within financial operations.

The Senior Data Analyst will develop and deliver analytical solutions, support data-driven business decisions, and maintain documentation of analytics initiatives.

The Research Editor role involves creating, updating, and managing compliance data profiles, conducting research, maintaining workflows, and responding to client inquiries while requiring fluency in English and Chinese.

Design and maintain scalable data platforms on AWS and Databricks, focusing on efficient data processing, analytics, and orchestration of pipelines.