Top Data Jobs in Singapore

Provide hands-on network implementation, configuration, installation and break/fix troubleshooting. Own portions of installations, escalate complex issues, document SOPs, maintain project administration, present to clients, and work toward professional networking certifications.

Provide advanced technical support and systems integration for networking solutions. Engage with clients onsite and remotely, produce technical specifications, reports and proposals, and assist in complex designs. Mentor junior engineers, coordinate implementation activities, troubleshoot networking issues, and maintain project documentation and SOPs.

Provide expert technical support and systems integration across collaboration, networking, security, data center and end-user compute technologies. Design and document solutions, escalate issues, mentor junior engineers, coordinate implementations, and engage directly with clients on complex deployments.

Design end-to-end user journeys, information architecture, and interaction patterns for enterprise applications. Evaluate and refine AI-generated prototypes, ensure alignment with design systems and accessibility, facilitate usability assessments and stakeholder reviews, and collaborate with business analysts, product owners, and engineers to deliver consistent, user-centred solutions.

Lead and direct multiple complex projects or programs from concept through implementation. Manage scope, schedule, budget, risks, issues and change control. Act as primary client contact, ensure satisfaction and handle escalations. Coordinate project teams, support pre-sales scoping and proposals, identify commercial opportunities, and communicate with stakeholders to deliver as-sold solutions while maintaining quality.

Provide expert-level technical support and systems integration for networking solutions. Engage clients, create technical specifications, assist in complex design, lead installations, troubleshoot networks, write reports and SOPs, and coach junior engineers.

Build and maintain end-to-end web applications: develop responsive React frontends, design backend services and RESTful APIs (Java/Node/Python/AWS Lambda), work with databases, troubleshoot performance issues, write tests, and collaborate with product, design, and engineering teams.

Support global sustainability data efforts by collecting, validating, and analysing energy, waste, and carbon data. Onboard properties onto UL 360 and Greenview Portal, maintain dashboards and reports, liaise with property teams and parent company, perform QA checks, and assist with sustainability reporting, research, and ad-hoc projects.

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.

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

The Senior Data Scientist leads the design and development of machine learning models in healthcare, collaborating with cross-functional teams to deliver impactful insights and compliance.

Analyze casino operations and product performance, build models and ML solutions for floor optimization, demand forecasting and manpower scheduling, create dashboards and A/B tests, collaborate with Operations, Marketing, BI, and IT to translate analytics into business strategy and operational improvements.

Develop and implement computer vision algorithms, evaluate model performance, and integrate solutions into larger systems, while maintaining documentation and staying updated on technology advances.

The Senior Data Scientist will develop AI solutions for gamers, focusing on Reinforcement Learning and Generative AI, collaborating closely with game developers and engineers.

The Senior Data Engineer will lead AI Data Engineering initiatives, architect and manage data infrastructure, and optimize data pipelines for AI and ML applications using various tools and technologies.

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.

Manage full lifecycle of data centre projects; oversee planning, execution, electrical infrastructure management, vendor coordination, risk assessment, and communication with stakeholders.

Responsible for planning, scheduling, and monitoring Data Center projects, ensuring timely delivery and coordination with stakeholders.

The Consultant/Senior Consultant will manage projects, develop practice-related content, and enhance data delivery methodologies, ensuring timely and quality project completion.

The role involves leading data governance and finance transformation projects, supporting client initiatives, and implementing enterprise data strategies for financial institutions.

Data Scientist II role focused on building AI/ML models for optimization. Responsibilities include data analysis, model training, and collaboration across teams to implement AI/ML solutions.

The Data Engineering Lead oversees data engineering operations, manages teams, ensures data integrity, and drives innovation in data management and governance.

This internship involves developing data processing platforms to support semiconductor and display manufacturing. Interns will engage in hands-on work within a global team to drive innovation.

Lead system and static data setups for new client and fund onboarding, manage conversion activities, validate NAV and shareholder data, standardize processes, liaise with stakeholders, and ensure ISAE/SOC compliance while guiding the client data team.