Top Data Science Jobs in Singapore

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

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

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

The Research Associate will work on geometric optimization in learning and robotics, including algorithm design and scientific reporting.

The Visiting Professor will participate in teaching and research, supervise graduate students, and mentor junior faculty at NTU's College of Computing and Data Science.

The researcher will serve as a Data Scientist, ML Researcher, and ML Engineer, performing fieldwork, developing algorithms, and constructing a data portal for a biodiversity project.

The Visiting Professor will teach, conduct research, supervise graduate students, and mentor junior faculty while maintaining high scholarly standards and international visibility.

Conduct independent research in database, data analytics, and data science, produce publications, and collaborate with partners and students.

Conduct cutting-edge research, collaborate on scientific projects, assist in deploying solutions for real-world applications, and contribute to publications.

The Research Engineer II will tackle research problems, publish findings, collaborate on projects, and deploy solutions for real-world applications, particularly in cyber security.

The Research Associate will conduct experiments, document findings, support team operations, and potentially supervise junior researchers at NTU.

The Data Science Intern analyzes large datasets, uses machine learning and analytics to solve gaming challenges, and collaborates with teams to drive business strategies.

The Engineering Manager will lead the Singpass team to develop Singapore's digital identity system, ensuring high-quality software delivery and team performance while nurturing team growth and collaboration.

The Engineering Manager will define the team's vision, manage product roadmaps, mentor engineers, and drive technical strategies for digital transformation in the public sector.

The Product Manager will lead a team to combat scams by driving the product roadmap, conducting user studies, analyzing data, and collaborating with cross-functional teams to develop tech solutions.

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.

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.

The Data Science Consultant supports marketing through data analysis, machine learning, and data engineering to drive business impact in luxury and consumer goods.

Lead advanced analytics initiatives in compliance domains, translating regulatory requirements, mentoring staff, and ensuring quality and governance standards.

The role involves managing AI and data science projects, engaging stakeholders, and delivering data-driven solutions while leading a team and guiding junior members.

As an Analyst in Data Science, you'll develop AI/ML solutions, collaborate across teams, and enhance customer experience through innovation. Responsibilities include coding, prototyping, and optimizing algorithms for business challenges.

The role involves developing AI models, translating business problems into data science solutions, and integrating models into a marketing platform for influencer marketing.

The Product Engineer will design and implement data-driven and edge-intelligent solutions focusing on real-time insights, Edge AI systems, and scalable data pipelines to improve service productivity.

Assist in identifying business problems, propose analytics solutions, collaborate with data engineers, develop ML models, create dashboards, and innovate generative AI applications.

Conduct research and develop AI models using deep learning for carbon measurement and logistics optimization, enhancing sustainability practices.