Top Data Jobs in Singapore

The Senior Data Scientist will develop digital twin solutions for semiconductor fabs, utilizing machine learning, predictive analytics, and simulation tools to optimize operations and enhance decision-making processes.

The role involves designing software and algorithms to analyze large datasets for actionable insights, enhancing production processes and product development.

The Data Scientist will analyze big data to develop predictive models and actionable insights, collaborating with various teams to enhance products and services.

Design and develop AI manufacturing solutions, high-quality analytics applications, and collaborate globally to improve production metrics in smart manufacturing environments.

Lead the development of digital twin models and AI-driven solutions to enhance semiconductor fab operations, utilizing simulation and machine learning techniques.

The intern will apply data science, statistics, and machine learning in semiconductor process development, focusing on data analysis and predictive modeling to enhance process accuracy.

The internship focuses on applying data science and machine learning to analyze large datasets in semiconductor manufacturing, with responsibilities including data extraction, model building, and collaboration with teams.

As a Data Scientist, you will analyze large datasets, develop predictive models, coordinate deployment activities, and utilize advanced machine learning techniques while collaborating with teams.

As a Product Engineer, you'll lead initiatives for yield enhancement using advanced data analytics, collaborate across teams, and develop AI/ML models to improve quality and efficiency.

The Engineer - Cost Data & Analytics will analyze cost data, develop analytics solutions, and improve data quality to support performance tracking against cost targets.

As a Computer Vision Engineer, you will develop image processing solutions, apply machine learning techniques, and collaborate on engineering projects to enhance manufacturing innovation.

The AVP will lead UOB's partnerships and ecosystem development, enhancing the Innovation Group's strategic initiatives with external stakeholders and emerging technologies.

The Principal Advisor leads technology transformation initiatives, shaping strategies and governance to ensure successful delivery and alignment with business outcomes across various domains such as cloud and data. They engage with senior executives, oversee presales activities, and guide organizational change while developing new consulting methodologies and frameworks.

The Data Scientist will focus on ML model development, applied research, and backend development, working closely with agency users and engineers in a collaborative environment.

Responsible for developing and maintaining data pipelines, employing AWS services, while collaborating with cross-functional teams for data-driven solutions.

Design, develop, and maintain data infrastructure microservices using C++, optimize for performance, debug issues, and collaborate with teams.

The Data Architect leads the design and delivery of data architecture and products, enhances data platforms like Databricks and Snowflake, and mentors teams across various business domains in data modeling and analytics.

Maintain and improve data pipelines and invoicing-related data quality checks; build visualizations; collaborate with data engineers and stakeholders to evolve the Snowflake/dbt/Dagster tech stack supporting accurate, timely invoicing.

The Head of Data APAC leads data teams, ensures product quality, manages stakeholder relationships, and drives strategic data initiatives within the maritime sector.

The Senior Data Analyst will convert marketing data into insights, enhance reporting, ensure data integrity, and manage an intern. Collaborate with leadership to improve marketing strategies and drive company growth.

Design and maintain data pipelines, collaborate with AI engineers, and ensure data quality for AI/ML models in supply chain operations.

As a Senior kdb+ Developer, you will lead technical delivery, design kdb+ architectures, mentor developers, and drive innovation in financial data solutions.

The role involves developing and maintaining kdb+ applications, supporting project delivery, analyzing data, and mentoring juniors, while collaborating with business users.

As a Data Engineer, you will build data pipelines using AWS, support AI/ML projects, improve existing systems, and ensure security compliance.

The internship involves supporting program management for APAC Service growth initiatives by tracking performance, analyzing data, and communicating insights using BI tools.