Top Data Jobs in Singapore

The role involves designing software and algorithms to analyze large datasets for actionable insights, enhancing production processes and product development.

The IT Engineer (Data Services) is responsible for database system management, performance tuning, compliance, incident resolution, and automation of database operations.

The Data Scientist will analyze big data to develop predictive models and actionable insights, collaborating with various teams to enhance products and services.

This role focuses on improving productivity in labor operations through program management, data analysis, and implementing AI and automation solutions.

The Principal Advisor leads technology transformation initiatives, shaping strategies and governance to ensure successful delivery and alignment with business outcomes across various domains such as cloud and data. They engage with senior executives, oversee presales activities, and guide organizational change while developing new consulting methodologies and frameworks.

The AVP will lead UOB's partnerships and ecosystem development, enhancing the Innovation Group's strategic initiatives with external stakeholders and emerging technologies.

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

The Client Partner role involves generating demand for cloud services, building client relationships, managing sales processes, and constructing managed services deals while collaborating with internal teams and partners.

The Cloud Client Partner at NTT DATA will drive managed services and outsourcing sales by building client relationships, generating demand for cloud solutions, and collaborating with internal teams to close deals.

As a Cloud Client Partner, you'll identify and close managed service deals, engage with clients, and construct tailored solutions, ensuring a deep understanding of their needs and driving sales process to closure.

The Analyst supports advisory and research in the data center sector, focusing on market intelligence, client engagement, and deal-related analysis across APAC.

The VP, AML & Data Analytics Program Manager will lead AML initiatives, drive program delivery, manage governance, and leverage data analysis to enhance processes and decision-making across AML operations.

The Senior Specialist will be responsible for data privacy governance, compliance, risk management, and oversight of data processes across multiple jurisdictions in Asia, ensuring adherence to relevant regulations.

The Data Engineer will optimize data architecture, improve data flow for teams, and support analytics initiatives with large data sets.

The Networking Technical Services Systems Integration Specialist provides technical support to clients, documents project specifications, mentors junior staff, and assumes ownership of networking technologies and projects.

The Senior Associate Networking Technical Services Specialist is responsible for network installations, troubleshooting, problem resolution, and documenting procedures while developing knowledge in networking technologies.

The Data Scientist will develop and deploy AI models for computer vision and text processing, enhancing business products at GoTo Financial. Responsibilities include model optimization, documentation, and collaboration between data science and engineering teams.

The Head of Data Governance is responsible for overseeing data governance policies and practices to ensure data integrity, compliance, and utilization across the organization.

The Data Architect leads the design and delivery of data architecture and products, enhances data platforms like Databricks and Snowflake, and mentors teams across various business domains in data modeling and analytics.

As an AVP, Data Scientist in AI Labs, you'll collaborate to develop innovative AI solutions, manage projects, and provide data science expertise.

The role focuses on driving revenue growth through AI-driven solutions and technology sales, involving customer engagement and collaboration with the Salesforce team.

As a kdb+ Engineer, you will develop and maintain applications, support project delivery, analyze time-series data, and mentor junior developers.

Lead technical delivery of projects, design kdb+ architectures for time-series data, mentor developers, and drive innovation in kdb+ systems.

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 and optimizing AI computing infrastructure, focusing on distributed training, compute scheduling, and end-to-end model engineering for gaming applications.