Top Data Jobs in Singapore

As a VP/AVP, you will design and deliver transformation initiatives, support framework development, and manage cross-functional execution while translating data insights into strategic recommendations.

Lead the design of DevOps strategy and develop cloud infrastructure. Responsible for operational management and building consensus across teams.

Lead and develop scalable data infrastructure, enhance self-service capabilities, ensure software quality, and mentor engineers while collaborating across teams.

The Senior Data Scientist will analyze risk, develop financial crime detection solutions, and optimize risk strategies using advanced analytics and machine learning.

The (Senior) Data Platform Engineer will design and build data pipelines, manage data infrastructure, and ensure data quality and consistency across the Growth Data Platform.

The Staff Data Scientist will lead data science initiatives, mentor the team, drive strategy, and contribute to product developments through quantitative analysis and data insights.

As a Senior Data Platform Engineer, you will design and optimize data infrastructure, develop data processing systems, and mentor junior engineers to drive data-driven initiatives.

As a Senior Data Scientist, you will collaborate with regional executives and various teams to leverage data for insights, support forecasting with statistical methods, and develop data products to drive strategic growth.

Seeking a Senior Data Scientist to design, deploy, and iterate data science solutions that enhance customer acquisition, engagement, and retention. Responsibilities include predictive modeling, statistical analysis, and collaboration with various teams to shape growth strategy.

As a Senior Data Scientist, you'll analyze business needs, implement ML solutions, and collaborate with teams to manage risk in international payments.

Lead analytics for regulatory reports, standardize data usage, build test frameworks, analyze data anomalies, and mentor colleagues in compliance domains.

As a Senior Data Scientist in Analytics (Risk & Compliance), you will lead analytics projects, ensure robust data foundations, and collaborate cross-functionally to improve regulatory compliance and risk oversight.

Lead technical decision-making and development for core infrastructure, optimize distributed systems, and mentor engineers while working with AI-driven products.

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.

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

The Reference Data Services Analyst oversees customer account data management, supports operations, ensures data integrity, and prepares operational reports. They also guide the team and contribute to project work.

Manage data centre functional services and ensure effective information management. Drive transformation projects, oversee compliance, and optimize organizational information assets.

The Data Analytics Intern will assist with analytics operations through reporting, analysis, and AI automation to improve data processes.

As a Senior Data Analyst, you'll turn data into actionable insights, support decision-making, and enhance conversion rates through analytical practices and collaboration with teams.

The Sr. Manager, Strategy and Planning drives corporate and commercial strategy, manages partnerships, oversees strategic planning, and informs decision-making for the International Sports Medicine business.

The Data Analyst will extract and analyze operational data, present insights, develop dashboards, ensure data accuracy, and collaborate for improvements.

The Data Science Consultant supports marketing through data analysis, machine learning, and data engineering to drive business impact in luxury and consumer goods.

Design and develop GenAI solutions for applications and tools, collaborate with teams, optimize AI pipelines, and document workflows.

This role involves designing and developing AIML/GenAI solutions, collaborating with engineering teams, and translating business needs into AI-driven solutions.