Top Data Science Jobs in Singapore

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

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

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

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

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.

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

The Manager of Data Solutions Sales Enablement supports data solutions strategy by translating client needs into product requirements, collaborating with teams, and tracking performance metrics.

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.

The R&D Scientist Intern will assist with hands-on experimentation, drive technical understanding, and solve innovation challenges in various scientific domains.

The role involves leading data-driven projects to optimize industrial processes, manage a data science team, and ensure effective stakeholder engagement for innovation.

The Senior AI Engineer will solve complex problems using AI, build client relationships, and contribute to a top-tier AI team with at least 7 years of relevant experience.

The consultant will work on strategic challenges in the luxury and consumer goods sectors, focusing on corporate strategy, marketing, and digital transformation, while collaborating with clients and multidisciplinary teams.

The Market Conduct Compliance intern assists in enhancing analytics models, reviewing transactions, and participating in projects to monitor sales quality and detect misconduct.

Lead and execute the regional data, analytics, and AI strategy while overseeing implementation, collaboration, team development, and governance compliance.

Lead consumer insights projects in SEA/ANZ, developing strategic insights for content and marketing decisions. Requires strong research background and stakeholder management.

The Demand Planning Director leads a team to create forecasts and demand schedules, aligning planning strategies with business objectives and collaborating with cross-functional leaders.

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 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.

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.

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

As a Data Science and Engineer Intern, you will gather user requirements, assist in ETL pipeline development, create statistical models, and develop BI dashboards while supporting AI initiatives.

Lead and scale Visa's Asia Pacific data science organization to deliver AI-first, high-impact analytics and commercial outcomes. Drive client engagements, P&L results, commercialization of analytics, cross-functional partnerships, and regional capability building across multi-market teams.