Top Data Jobs in Singapore

Responsible for leading the design and maintenance of enterprise data warehouse, collaborating with stakeholders, ensuring data quality, and optimizing data integration processes.

As a Product Manager for the Data Platform, you will collaborate with teams to define requirements, track metrics, improve data quality, and manage the product roadmap.

The Senior Data Scientist will deliver analytics solutions, develop scalable data products, and work on machine learning and statistical models to solve operational challenges.

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.

The Data Scientist role involves designing AI-driven solutions for gaming, using Reinforcement Learning and collaborating with engineers to enhance game experiences.

The Cybersecurity Director manages Vantage Data Centers' global cybersecurity strategy and programs, ensuring compliance, risk management, and fostering a culture of security. Responsibilities include incident response, policy governance, and team leadership.

Lead AI and machine learning solutions for insurance analytics. Oversee model performance, drive data strategy, and collaborate regionally to enhance business growth through advanced analytics.

The role involves developing an analytics platform, optimizing marketing campaigns, advising on MarTech strategies, and leading client workshops, with a focus on enhancing client digital maturity.

The Master Data Specialist ensures accurate master data management by validating data for SAP, advising customers, and enhancing data quality while managing urgent requests.

The intern will extract manufacturing quality data from SAP to create visualizations, identify trends, and develop analytical tools to support productivity improvements.

Lead APAC marketing for Vantage, owning regional strategy, budget, campaigns, PR, content, events, sales enablement and team/agency management while aligning with global objectives and reporting KPIs.

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

Lead Data Solution Architects at Thoughtworks develop modern data architectures, providing end-to-end solutions and guiding teams on technical decisions to meet business objectives.

Lead the design and management of data and analytics solutions in banking, focusing on architecture, team leadership, and regulatory compliance. Develop AI/ML applications and ensure scalable platforms for enterprise use.

The AVP - Reference Data Senior Analyst leads an Operations Support department, ensuring staff performance, developing new procedures, managing customer data, and maintaining compliance with regulations through analytical and problem-solving skills.

Develop and implement statistical models for data analysis, collaborate with teams for process improvement, and present findings to management. Stay updated on data science and machine learning advancements.

Lead the business analysis function for AI and data initiatives: define roadmap, translate stakeholder needs into requirements, design use cases and solutions, ensure governance and compliance, drive adoption, training, and continuous improvement.

As a Data Engineer, you will develop and manage infrastructure for data science and machine learning applications, engage in digital transformation for MOE, and ensure data systems meet organizational needs.

Lead the strategy and operations of Technical Services for the Data Centre Group in APAC, driving growth and client development while overseeing engineering standards and financial performance.

This role focuses on processing Policy Services requests, managing customer change requests, and driving process improvements within Policy Services team.

The role involves ensuring compliance with quality standards in biopharmaceutical manufacturing, providing QA consultation, managing KPIs, and implementing compliance initiatives.

Leverage structured and unstructured data to solve business problems, develop machine learning models, and work on AI applications for financial services.

As a Data Scientist Manager, you will develop predictive models using large datasets, analyze trends, and collaborate with stakeholders to drive business decisions.

Manage daily data privacy operations, including data subject requests, privacy assessments, incident management, and regulatory compliance.

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