Top Data Jobs in Singapore

The role involves developing digital twin solutions for semiconductor fabs using advanced analytics, machine learning, and simulation technologies while collaborating with cross-functional teams.

The Managing Principal will lead data projects, define client data strategies, conduct capability assessments, and influence data-driven culture in financial services.

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

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

The Vice President will lead Data Client Services, ensuring high-quality client support, managing expectations, and driving initiatives for operational efficiency while developing future leaders.

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.

As a Consultant, you'll develop data strategies and optimize data operations for clients in Financial Services or Insurance, overseeing projects and ensuring effective communication with stakeholders.

The Director will architect AI and Privacy Enhancing Technology solutions, engage with regulators and partners, and guide initiatives to enhance AI and PET adoption within Mastercard's framework.

As a Director, you will lead AI programs focused on regulatory engagement and the production and adoption of Responsible AI toolkits, working with key stakeholders and managing cross-functional roadmaps.

The role involves leading technical product management and solution architecture for Responsible AI tools, ensuring implementations meet governance, usability, and scalability while collaborating with various stakeholders.

The Senior Data Scientist will define and execute a roadmap for backend technology, manage KPIs, collaborate on IT tasks, and develop solutions using programming languages like Python and C#.

The Enterprise Account Executive builds and maintains relationships with large enterprises, focusing on achieving sales quotas, developing strategies, and managing end-to-end sales processes, especially in financial institutions and utilities.

The Director, Data Benchmarks will oversee the quality and integrity of Preqin's benchmarks and indices datasets, lead a global team, and collaborate with internal stakeholders to ensure effective integration into data platforms.