Top Data Jobs in Singapore

As a Data Scientist, you'll build machine learning models, enhance search system performance, and collaborate with various teams to improve operational efficiency.

As a Data Scientist, you'll analyze large datasets using statistical modeling and machine learning. Responsibilities include developing software for data cleansing, evaluating diverse data sources, and collaborating with cross-functional teams.

As the Data Analytics Lead, you will develop CoinGecko's analytics strategy, manage data platforms, and lead a team to enhance data culture and governance.

The Data Manager oversees engineering project data management, ensuring accurate data collection, configuration of data systems, and training project teams on management tools.

The Energy, Utilities & Operations Counsel will negotiate contracts related to energy and utilities, support compliance with regulations, and manage legal risks for Vantage Data Centers' operations.

The Data Science Senior Analyst conducts strategic data analysis, develops recommendations, drives analytics initiatives, and solves complex system issues while providing user support and ensuring quality in project execution.

The Data Scientist will develop and deploy ML models, conduct data analysis, optimize air traffic solutions, and maintain pipelines in a collaborative environment.

The Data Analyst role focuses on analyzing and visualizing operational data to identify trends and improvements, collaborating with teams to implement solutions.

The Data Governance Officer develops data standards, manages data quality metrics, maintains documentation, and collaborates with teams to enhance data management and compliance.

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 Data Integrity Expert ensures compliance with data integrity regulations, oversees inspections, conducts data quality checks, and leads training programs while implementing risk mitigation strategies.

The MSAT Process Data Scientist Intern will assist in setting up bioprocess data frameworks and systems, enabling data analysis and visualization for process engineers, and ensuring compliance with Good Manufacturing Practices in a biopharmaceutical facility.

As Senior Legal Counsel, oversee data privacy practices, collaborate with stakeholders, ensure compliance with data protection laws, and manage related contracts.

The Business Development Director will identify and foster relationships with AI-focused partners and clients, driving leasing and market initiatives in the APAC region.

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

Lead the Valuations and Reference Data Services sales team in Asia, achieving sales targets, managing the team, and creating sales strategies.

The Sales Specialist for Data & Feeds will drive gross sales of pricing and reference data services, engaging with institutional clients, and handling regulatory compliance needs. They will collaborate with account managers and drive revenue growth through relationship building in various departments.

Lead AI initiatives in the insurance sector, develop predictive models, and support data strategy while collaborating with global teams to drive analytics solutions.

Lead the design and development of Data and Analytics Architecture, enhance data management and governance, and promote data-driven culture within the organization.

Lead the Growth and Insights Department, performing advanced data analysis, translating insights into business strategies, and mentoring a high-performing team.

The role involves collecting and analyzing complex data to provide insights, creating dashboards, and collaborating with teams to drive digital growth and strategy.

Lead data engineering activities including strategy execution, team management, architecture design, technology selection, performance optimization, and data governance for global wealth data management.

Data Engineers will design, build, and optimize data pipelines and frameworks for Data Warehouse and Data Lakehouse solutions, ensuring quality and efficiency while adhering to compliance standards.

Develop, optimize, and maintain systems for capturing and processing market data. Collaborate with teams to ensure data accuracy for trading performance.

Supervise data centre operations, ensuring tasks are completed on time and within standards. Act as the first escalation point, drive automation and process improvements, and support compliance and operational reporting.