Top Data Jobs in Singapore

As a Senior Data Scientist, you will develop digital twin solutions and predictive analytics to enhance semiconductor manufacturing processes using AI and machine learning.

As a Data Scientist at Micron, you will build digital twins for semiconductor fabs using machine learning and analytics to enhance processes, predict performance, and optimize workflows, collaborating with engineers and teams to integrate data-driven solutions.

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

The intern will support the Business Decisioning and Analytics team by operationalizing AI and data analytics best practices, contributing to data innovation initiatives, and learning about the impact of technology in banking.

This internship involves leveraging AI and data analytics for business decision-making, supporting use case testing, and contributing to data innovation initiatives.

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

This role involves building a database solution for South Asia, managing data standardization, cleansing, validation, and providing insights from data.

As an Actuarial Intern, you will support database solutions, manage data flow, validate data, and collaborate with teams on data initiatives.

Lead and execute the regional data, analytics, and AI strategy while overseeing implementation, collaboration, team development, and governance compliance.

The AWS AI & Data Origination Lead drives growth by identifying client challenges and developing AI and cloud solutions while leading negotiations for business value.

The Pre-Sales Engineer for AI & Data designs solutions for clients, leads pre-sales processes, collaborates with teams, and communicates technical value to stakeholders.

Internship in AI Lab focusing on developing AI solutions, working with business units, and applying machine learning techniques to real-world challenges.

The role involves leading technical architecture for data and AI solutions, guiding customers on integration with Salesforce and external platforms, and developing prototypes and best practices.

The Data Analyst will analyze complex datasets to derive insights for government initiatives, ensuring compliance with AI and data governance standards.

The Data Programme Manager will lead large-scale programmes, ensuring successful delivery through Agile or Waterfall methodologies while fostering client relationships and team development.

Oversee data center operations, manage engineering teams, ensure compliance and maintenance, meet KPIs within budget, and liaise with contractors.

Lead the development and delivery of reporting and analytics platforms, optimizing marketing campaigns, advising on MarTech solutions, and driving digital maturity for clients.

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.

The Senior Data Engineer will design and optimize data pipelines and models using Databricks, PySpark, and cloud platforms, leveraging deep data engineering expertise to enhance data processing and ensure quality delivery.

As a Cross Technology Managed Services Engineer (L3), you'll resolve technical issues, manage high-complexity tickets, mentor junior staff, and enhance service quality across technologies including Cloud, Security, and Networking.

The Business & Data Analyst will partner with teams to analyze data, create data processing pipelines, and support analytics consulting projects, focusing on transport-related insights.

As a Client Manager, you will build client relationships, ensure satisfaction, drive sales growth, and develop account strategies using Salesforce.com.

The role involves analyzing user growth, optimizing growth funnels, developing user segmentation, evaluating marketing effectiveness, and collaborating with cross-functional teams to improve data strategies.

The Data Centre Engineer will manage data and colocation centres, coordinate logistics, and ensure operational standards for security and upkeep.

Assist in data collection and annotation processes to enhance self-driving software development, collaborating with teams for data quality and sensor calibration.