Top Data Jobs in Singapore

The Data Scientist will analyze big data, develop software solutions, identify insights, and enhance products/services through data-driven decisions.

The program develops skills in warehouse operations, focusing on GMP compliance, continuous improvement, SOP updates, and master data management for biopharmaceuticals.

Drive labor productivity through program management, data analysis, automation, and AI methodologies to enhance operational efficiency and reduce labor hours.

Lead Prudential's AI Lab, driving development of AI solutions, managing sandbox operations, overseeing product quality, mentoring teams, and engaging with external AI talent.

Oversee strategy and architecture of data and AI platforms, resolving challenges, promoting best practices, and mentoring the team.

The Manager, FP&A Data oversees financial data maintenance and builds infrastructure for transforming raw data into strategic insights, utilizing SQL, Python, and AI-driven solutions to automate processes and enhance data governance.

The Senior Data Scientist will analyze complex data sets, apply statistical techniques, and collaborate with teams to influence product strategy and improve business outcomes.

The Staff Data Platform Engineer will oversee the strategy, architecture, development, and operations of data and AI platforms, mentor a team, and advocate for best practices in data management and governance.

The role involves ensuring end-to-end performance and power readiness of Data Center SSD programs through technical execution, analysis, and leadership across teams.

The Managing Principal will lead data projects, define client data strategies, conduct capability assessments, and influence data-driven culture in financial services.

As a Senior Data Scientist at Airwallex, you will partner with executives and teams to manage data, apply advanced statistical methods, and leverage AI for insights while fostering a culture of technical excellence and clear communication.

The Senior Data Scientist will partner with executives and teams to leverage data, enhance forecasting, and build data products, utilizing AI insights for business efficiency.

As a Director of Data Science at Mastercard, you will lead financial crime modeling efforts, engaging with teams and stakeholders to ensure effective solutions that meet customer and regulatory needs. You will represent Mastercard at industry events and contribute to white papers, while collaborating with global teams to align methodologies.

The Forensics and Intelligence Data Analyst role supports the COE for cybersecurity by analyzing data trends, developing strategies, tracking product performance, and collaborating with stakeholders to enhance financial crime solutions across the Asia-Pacific region.

Lead strategic initiatives to enhance business processes, improve operational efficiency, and drive measurable outcomes by collaborating with stakeholders and global teams.

This internship focuses on understanding maintenance costs and part usage in manufacturing equipment, involving data analysis and workflow documentation.

The intern will learn about semiconductor manufacturing processes, conduct data analysis, and evaluate process stability while working under mentorship. The internship includes project reports and presentations based on data insights.

The IT Engineer (Data Services) is responsible for managing and optimizing database systems, ensuring data availability, performance, and compliance, while also developing automated solutions and collaborating with site customers.

The intern will apply data science, statistics, and machine learning in semiconductor process development, focusing on data analysis and predictive modeling to enhance process accuracy.

The role involves leading technical product management and solution architecture for Responsible AI tools, ensuring implementations meet governance, usability, and scalability while collaborating with various stakeholders.

Lead the Data DevOps team by developing and maintaining data infrastructure, enhancing tooling for self-service capabilities, and ensuring software quality and functionality.

The Senior Data Scientist will analyze risk, develop financial crime detection solutions, and optimize risk strategies using advanced analytics and machine learning.

The (Senior) Data Platform Engineer will design and build data pipelines, manage data infrastructure, and ensure data quality and consistency across the Growth Data Platform.

As a Senior Data Platform Engineer, you will design and optimize data infrastructure, develop data processing systems, and mentor junior engineers to drive data-driven initiatives.

The Staff Data Scientist will lead data science initiatives, mentor the team, drive strategy, and contribute to product developments through quantitative analysis and data insights.