Top Data Jobs in Singapore

As a Senior Data Engineer, you will design and implement data models, manage ETL pipelines, enforce data governance, and integrate AI practices.

The Staff Data Scientist will design experiments, improve payment products, build measurement frameworks, and mentor junior data scientists at Airwallex.

The Data Scientist will analyze extensive data using advanced techniques in machine learning and optimization to derive insights and create predictive models.

The role involves managing AI system reviews, conducting risk assessments, ensuring compliance, and collaborating with teams to enhance AI governance and reporting processes.

As a Data Science Engineer, you will analyze large datasets, develop predictive models, and work collaboratively to enhance data tools and processes.

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 Senior Client Manager, you will manage and grow client relationships, drive expansion, and ensure satisfaction throughout the client lifecycle. You'll leverage sales tools, develop effective communications, and contribute to revenue growth while coordinating internal and external resources for sales opportunities.

The DevOps Engineer is responsible for designing, implementing, and maintaining software solutions based on business requirements, utilizing multi-technology applications and CI/CD processes.

As a Sales Executive Lead, you will drive off-cycle growth by upselling live data services, managing accounts, and collaborating with teams to build a robust sales pipeline.

The Vice President of Investment will evaluate investment opportunities, structure transactions, manage due diligence, and collaborate with advisors while supporting asset management initiatives.

Manage HR data engineering initiatives by building data warehouses and pipelines. Transition to analytics, generating reports and dashboards for informed HR decision-making.

The Executive in CRM, Data Analytics & Customer Experience supports customer engagement initiatives through managing CRM programs, customer feedback, and performance analytics to enhance satisfaction and loyalty.

Lead a rapid‑response PMO to drive enterprise transformation across AI, data analytics, digital assets and platform initiatives. Diagnose complex cross‑domain problems, prototype and scale production solutions, institutionalise reusable architectures and governance, manage partners, and align stakeholders to accelerate secure, compliant, and enterprise‑grade innovation.

Lead the development and deployment of Generative AI applications, collaborate with teams to deliver business use cases, and enhance data science skills.

The Data Scientist will identify new data sets, build processes for data collection, analyze data for potential applications, and research alpha signals for portfolio managers.

Lead a unified data and experimentation framework across the company, engaging with core business lines to support data-driven decision-making, while ensuring data quality and governance.

The Data Analyst will analyze financial datasets, create data pipelines, engage with vendors, automate data checks, and support investment teams.

The role involves data analysis to support HR decisions, establishing KPIs, creating reports, and improving HR processes with a focus on data-driven insights.

The Sales Executive Lead will drive growth for Live Data services, identify upsell opportunities, and collaborate with the account management team to engage clients using data-driven pitches.

The Network Technology Sales Specialist engages with clients, identifies opportunities, presents solutions, manages sales processes, and fosters relationships with senior executives to drive growth for NTT DATA.

The role involves constructing and maintaining data reports for overseas developers, developing data flow for an advertising system, and ensuring system maintenance.

Design and operate scalable platforms for training and inference of generative AI. Collaborate with teams to solve engineering challenges.

The Specialist in Data Analytics will analyze data to provide insights for business decisions, create reports, and collaborate on digital strategies to enhance APAC's eCommerce ecosystem.

The Senior Software Engineer for the Data Platform will design and build scalable data infrastructure, focusing on data processing, discovery, and lineage systems, ensuring robust code and system design.

The role involves analyzing datasets, developing dashboards, building data pipelines, and collaborating with teams to translate findings into business strategies.