Top Data Jobs in Singapore

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.

In this role, you will apply expertise in AI and data science to deliver impactful solutions for clients, leveraging your skills to solve complex challenges and engage with a diverse client base.

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 Data Scientist, you will develop AI and ML models, collaborate with stakeholders to identify business challenges, and maintain deployed models and applications.

The Data Engineer will design, develop, and deploy data solutions for government agencies, focusing on geospatial data pipelines and ensuring data quality and compliance.

The role oversees AI and data risk governance, ensuring compliance with regulations while managing the AI and data lifecycle effectively across the organization.

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

Join the Financial Services team as an intern to support banking projects through research, analysis, and collaboration with consultants.

The role involves owning the regional pipeline, executing GTM strategies, improving conversion rates, and managing local marketing efforts in APJ markets.

The Director of APAC Channels drives the Channel GTM strategy, recruits and trains teams, manages partnerships, and monitors performance to accelerate growth.

The Senior Sales Engineer assists customers with technical evaluations, develops sales strategies, and demonstrates expertise in storage products while supporting the sales team and its growth.

The Sales Strategist will drive complex deal-making and sales strategies, focusing on software licensing and financial optimization while collaborating with sales and finance teams.

The Marketing Manager will plan and execute marketing programs in APAC, focusing on China-specific initiatives, managing vendors, and leveraging Salesforce for lead tracking and campaign effectiveness.

The Regional Sales Manager ASEAN is responsible for developing business with enterprise customers, managing sales processes, and driving revenue through relationships and channel partners.

Lead alliances engineering activities, provide consulting and training, define product requirements, assist in sales strategies, and guide system engineers in delivering solutions.

The role involves developing enterprise customer relationships, managing sales processes, generating revenue, and expanding the market footprint through strategic account management.

Lead VAST's communications efforts in the APJC region, advising leadership, managing PR agencies, and enhancing executive visibility through effective messaging and media engagement.

The Senior Sales Engineer assists customers with technical evaluations, supports sales strategies, demonstrates storage products, and contributes to the development of sales teams, with a focus on enterprise storage solutions.

The role involves providing Level 2/3 network support for Cisco products, ensuring compliance with policies, and preparing network analysis reports. It includes training, documentation updates, and participation in project handovers.

Lead Prudential's AI Lab, driving development of AI solutions, managing sandbox operations, overseeing product quality, mentoring teams, and engaging with external AI talent.

As a Data Engineer at BJAK, you will develop and maintain data infrastructure, ensure data reliability, and support analytics by managing data models and pipelines.

As a Data Scientist in AI Fintech, you will build machine learning models for fraud detection, analyze data, and ensure compliance with regulations.

The System Engineer will manage scalable data platform infrastructures across hybrid environments, ensuring reliability, performance, and compliance. Responsibilities include platform lifecycle management, cloud service provisioning, monitoring, and security enforcement.

Lead and scale Data Engineering, DataOps, and Stewardship functions, ensuring delivery excellence of a cloud-native data platform for analytics.

Lead and scale the Data Engineering and DataOps functions. Oversee data ingestion, transformation, and operations to enable self-service analytics. Manage a hybrid team, ensuring end-to-end delivery excellence and data quality.