Top Data Science Jobs in Singapore

The role involves collaborating with data scientists, engineers, and stakeholders to implement AI-based solutions, track impacts, and identify cost opportunities in smart manufacturing.

The Senior/Staff Engineer will develop and optimize dry etch processes for NAND technology, collaborate with teams, conduct analysis, and maintain pilot manufacturing lines.

The Director will lead the Financial Crime Solutions team to develop strategies, partnerships, and commercialization initiatives to enhance Mastercard's financial crime prevention efforts in the Asia-Pacific region, focusing on collaboration with government and financial institutions.

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.

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 Director will architect AI and Privacy Enhancing Technology solutions, engage with regulators and partners, and guide initiatives to enhance AI and PET adoption within Mastercard's framework.

The Principal Business Intelligence Analyst at Micron drives AI transformation in Smart Manufacturing by leading projects and collaborating across functions to improve manufacturing performance and data utilization using innovative AI solutions.

The QEM PQE Engineer will support semiconductor manufacturing by improving product yield and reliability, driving data analysis and collaboration across teams to enhance performance.

Lead the OCT Photo teams, aligning with company goals, driving strategic initiatives, managing projects, and developing workforce readiness in semiconductor manufacturing.

The role involves developing and optimizing dry etch processes for NAND products, collaborating on solutions, conducting failure analysis, and maintaining pilot manufacturing lines.

The role involves developing and optimizing CMP processes for NAND memory, managing experiments, and collaborating with vendors while providing strategic technical direction and mentorship.

The role involves developing and optimizing dry etch processes for NAND technology, collaborating with teams, and conducting research while maintaining pilot manufacturing lines.

Lead a team to develop data-driven solutions that optimize planning and operations in the semiconductor industry using advanced analytics.

The Staff I4.0 Product Owner will lead the development of smart manufacturing solutions, bridge cross-functional teams, and leverage data science to optimize operations. Responsibilities include defining product roadmaps, managing requirements, collaborating on data science solutions, and communicating effectively across teams.

Join the Financial Services team as an intern to support banking projects through research, analysis, and collaboration with consultants.

This role involves leading data science projects, building analytical capabilities, collaborating with stakeholders, and ensuring model governance in compliance with regulations.

The International Sector Analyst will conduct deep research to provide insights on industries, support investment decisions, and collaborate with data scientists and investment professionals.

The role involves leading compliance analytics at UOB, developing advanced surveillance capabilities, engaging with regulators, and managing the compliance analytics team.

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

The R&D Scientist Internship includes hands-on experimentation and problem-solving in various areas, such as formulation, product research, and data analytics, intended for PhD students graduating in 2026 or 2027.

This role involves leading strategic consulting engagements in financial services, managing projects, business development, and mentoring junior consultants while driving Sia's growth in the sector.

As a Data Engineer, you will develop and manage infrastructure for data science and machine learning applications, engage in digital transformation for MOE, and ensure data systems meet organizational needs.

Develop and implement data science models and algorithms, analyze complex data sets, ensure data quality, and collaborate with stakeholders to optimize data processes.

Lead and manage a team of Partner Solutions Architects, providing technical guidance to consultative partners, driving customer success, and enhancing partner engagement with the Databricks platform.

Lead the implementation and maintenance of AI agent applications, enhance performance, manage lifecycle, and ensure compliance with regulatory standards while coordinating cross-functional teams for operational excellence.