Top Data Jobs in Singapore

As a Senior Data Scientist, you'll design datasets, conduct model pre-training, and collaborate with teams to develop LLM features for diverse users.

As a Data Engineer at BJAK, you'll build and maintain data pipelines, ensure data quality, design data models, and collaborate across teams for analytics and product insights.

The Account Manager will drive sales processes, manage customer accounts, and develop strategic relationships to achieve revenue targets. Responsibilities include creating sales plans, managing existing clients, and identifying new business opportunities while collaborating across departments.

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

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.

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

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.

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

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

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

The Senior Product Analyst will analyze data for product teams, design experiments, develop frameworks, and provide insights to improve customer service and business outcomes.

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.

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.