Top Data Jobs in Singapore

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

This internship offers a learning opportunity in the Department, allowing interns to gain experience from industry practitioners while being part of UOB's team.

As a Data Science Intern at UOB, you will have the opportunity to learn from industry practitioners and gain valuable experience in data science.

Support statistical analysis and interpret multi-source industry data to generate insights. Help govern dashboard user access and assist on ad-hoc projects under supervision.

Lead the development and deployment of AI models focusing on computer vision and text processing. Responsible for enhancing model performance and collaborating with teams to meet business needs.

Collaborate with clients to design and implement data architectures, ensuring data quality and governance while providing technical leadership to data engineering teams.

As a Senior Consultant, you will lead enterprise transformations, engage with clients, manage relationships, and deliver business solutions aligning with client needs.

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.

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 Component Engineer in Data Analytics oversees material data integrity and analytics, developing ETL pipelines, leading data cleansing, and creating dashboards to support strategic decision-making across engineering and procurement teams.

As a Data Engineer, you will design and maintain data pipelines, implement data models, develop APIs, and collaborate with cross-functional teams to optimize data solutions for governmental projects.

Join Activate Interactive as a Data Engineer to solve complex data challenges, optimize data pipelines, and enhance database performance for government agencies. Responsibilities include diagnosing data issues, debugging failures, and developing workflows for data accuracy.

The Data Scientist will develop ML models, conduct applied research, collaborate within product teams, and work on exploratory projects with government agencies.

The R&D Data Science Engineer designs and optimizes data systems, develops algorithms, and collaborates on digital health technology projects to improve drug development processes.

The Scheduler is responsible for planning, scheduling, and monitoring Data Centre projects, ensuring timely delivery by coordinating with stakeholders and tracking progress.

As a Data Engineer, you will develop data pipelines, transform analytics for business growth, automate reporting, and collaborate with stakeholders to deliver data-driven insights.

Lead and manage data migration projects, gathering requirements, coordinating teams, defining data mappings, and ensuring compliance through testing.

Lead data analysis projects, oversee data migration, ensure data quality, and manage project teams while collaborating with stakeholders.

As a Senior Data Engineer, you'll design and maintain data pipelines, translating complex requirements into scalable solutions using Python, collaborating with teams to deliver actionable insights in an Agile environment.

Assist in gathering, organizing, and analyzing sustainability data from global properties, ensuring data quality and supporting reporting processes.

Collaborate with multiple teams to develop data requirements, manage data governance, and enhance efficiency through data development tools.

Manage and track real estate transactions and due diligence for data center site acquisitions across APAC. Build systems for reporting and stakeholder alignment.

As a Lead Data Scientist, you will improve dynamic pricing systems, lead ML projects, collaborate with teams, and analyze data for business impact.

Assist in translating business cases into technical solutions utilizing various technologies. Support data warehouse design, address performance issues, and contribute to data management standards.

The Cloud Sales Specialist drives sales in Hybrid Cloud solutions, builds relationships with clients, and collaborates with internal teams to meet client needs and achieve sales targets.