Top Data Jobs in Singapore

As a Senior Data Scientist, you'll develop scalable machine learning algorithms focused on search and ranking, process datasets, deploy models, and run A/B tests.

The Senior Data Scientist will develop AI/ML models for dynamic pricing, automate model processes, build monitoring dashboards, and present findings.

Analyze large datasets to extract insights, develop AI/ML models, predict demand, and enhance user experiences in deliveries and dining services.

As a Senior Data Scientist, you'll build scalable machine learning systems, analyze data, develop models, and collaborate with cross-functional teams in insurance product development.

The Senior Data Scientist will lead the development of chatbot technologies using machine learning and NLP to enhance user experience at Grab.

The Document Controller coordinates document management across Design Engineering and Construction projects, ensuring accessibility, compliance, and effective communication among teams and stakeholders.

The Solutions Architect will oversee Oracle ERP implementations, design solutions across various modules, coordinate with teams, and ensure alignment with business goals, leveraging Oracle technologies.

The Client Manager is responsible for acquiring new clients and expanding existing accounts by pursuing sales leads and collaborating with internal teams.

The Director, Enterprise Architect (SAP) leads SAP solution design during the sales process, aligning client business needs to technical architectures and driving sales through strategic advisory and solutioning.

As a Principal Data and AI Architect, you will design and implement enterprise-grade data and AI solutions for customers using Salesforce D360 and Agentforce, guiding executives and collaborating with teams to drive innovation and value.

Responsible for sales results in mid-size and large accounts, developing customer relations, analyzing sales data, and driving innovative products.

This role involves identifying growth opportunities in Live Data services, upselling within existing accounts, managing a sales pipeline, and collaborating with the Account Management team. Strong sales experience, industry knowledge, and communication skills in English and Mandarin are essential.

The intern will support AI & Data projects by analyzing data, developing machine learning models, and assisting with data visualization and preprocessing.

The Capital Markets Manager will lead debt capital raising initiatives, manage project financing processes, and mentor analysts while ensuring compliance and effective communication with stakeholders.

As an Actuarial Intern, you will support database solutions, manage data flow, validate data, and collaborate with teams on data initiatives.

The Operations Manager oversees M&E engineering services in Data Centre facilities, managing operations, teams, compliance, client relations, and financials.

The Senior Data Engineer will design, build, and operationalize data solutions, focusing on creating large-scale data pipelines and supporting AI/ML teams, while ensuring client value and effective partnership.

The Document Manager oversees document control and quality assurance for construction projects, ensuring compliance and effective documentation management.

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

The Logistics Data Analyst is responsible for data collection, analysis, and visualization to support decision-making and improve company processes.

As a Data Analyst at Manus, you'll analyze business metrics and user behavior, conduct A/B tests, and create dashboards to drive product strategy and growth.

Lead the lifecycle of data products from discovery to delivery, collaborating cross-functionally to enhance AI-driven tools and analytics.

As a Data Engineer (Compliance), you will manage SQL scripts for compliance monitoring, handle data governance, and ensure regulatory compliance while collaborating with various stakeholders.

Lead AI and advanced analytics projects in health domain, focusing on model development, ethical AI practices, and leading a team of data scientists.

The Senior Data Scientist leads technical initiatives, develops deep learning models, and mentors junior team members while working directly with customers to build impactful AI solutions.