Top Data Jobs in Singapore

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 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.

The Principal Data Scientist will lead technical initiatives, develop deep learning models, manage data pipelines, and mentor junior team members while collaborating with customers and engineers to create impactful AI-driven solutions.

As a Data Scientist, you will translate business problems into data analytics solutions, manage the ML lifecycle, and improve driver incentives through statistical analysis.

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 Cloud Services Sales Specialist identifies, develops, and closes cloud managed services deals, engaging with clients and internal teams. They build strong client relationships and drive the sales process while addressing client needs and objections.

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

Act as a strategic technology advisor to enterprise customers, guiding digital transformation using Salesforce and related technologies. Shape roadmaps, apply enterprise architecture best practices, lead stakeholder engagement at executive levels, mentor teams, and drive delivery governance and change management across CRM, data, AI, and integration landscapes.

The Data Engineer will design and maintain data pipelines, perform data transformation, integrate data, and collaborate with various stakeholders in an Agile environment.

The Data Engineer will build scalable data pipelines, design ETL processes, implement data quality checks, and collaborate with analytics teams to provide data insights.

As a Data Engineer, you'll design and maintain data pipelines, collaborate with teams on data-driven projects, and ensure data quality through transformation and integration of various databases and frameworks.

The Data Architect will define data architecture, facilitate integration patterns, and guide data governance for large public sector organizations.

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

Support statistical analysis and interpret multi-source industry data to generate insights. Help govern dashboard user access and assist on ad-hoc projects under supervision.

Manage and validate distribution reports, analyze data for insights, propose solutions, and support compensation processes while ensuring compliance and efficiency.

The role involves managing compensation reports, conducting data analysis, proposing solutions, and ensuring compliance in financial operations.

The Head of Data Science will lead the data science team across Southeast Asia, focusing on credit risk model development, strategic collaboration, and shaping the machine learning roadmap.

The Senior Sales Specialist identifies and pursues leads, establishes client relationships, and collaborates with internal teams to achieve sales targets through solution-based selling.

The Data Science Intern will develop AI models, translate business problems into data science solutions, design experiments, build data pipelines, and ensure product integration while collaborating with cross-functional teams.

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 AI Architect will develop AI solutions, support the global AI sandbox, provide technical guidance, and optimize AI products while collaborating with various stakeholders.

Collaborate with multiple teams to develop data requirements, manage data governance, and enhance efficiency through data development tools.

The Data Scientist will develop ML models, conduct applied research, collaborate within product teams, and work on exploratory projects with government agencies.