Top Data Jobs in Singapore

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 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.

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.

As a Senior Data Scientist, you will develop and deploy advanced AI models in deep learning, focusing on computer vision, voice, and text processing. Responsibilities include model optimization, performance evaluation, and collaboration with engineering teams.

As a Senior Data ETL Engineer, you'll develop data pipelines, support AI/ML initiatives, ensure data quality, and optimize performance.

Six-month Data Scientist intern working on growth analytics: gather and validate advertising and app-tracking data, analyze campaign performance, build queries/scripts and dashboards, support campaign optimization, and present insights to stakeholders to improve product and client growth.

Lead initiatives to enhance yield and quality in HBM product engineering through advanced data analysis and machine learning, collaborating across teams and mentoring members.

The Associate Data Engineer will contribute to Machine Learning and NLP projects, collaborate with cross-functional teams, and enhance threat detection through data-driven intel.

Lead market and consumer research for the Digital Appliance category: perform primary and secondary research, competitive and industry analysis, market modelling and opportunity sizing. Synthesize insights into actionable strategies and visualizations, support consumer research design, facilitate innovation workshops, and collaborate with cross-functional teams to inform product innovation and market positioning.

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

Design and maintain data pipelines for AI/ML models and analytics in supply chain. Collaborate with scientists, ensure data quality, and optimize ETL processes.

The Data Scientist will develop AI-driven solutions for supply chain optimization, utilizing advanced analytics, machine learning, and statistical modeling to deliver business impact.

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.