Top Data Jobs in Singapore

Provision, stage, troubleshoot, repair, and maintain bare-metal servers, network devices, and data center infrastructure. Collaborate with engineering and installation teams to validate builds, improve deployment workflows, and optimize staging processes for a global cloud security network. The role requires expertise in hardware configurations, physical connectivity, Linux/Unix, BIOS, out-of-band management, virtualization, scripting, and build automation. Occasional travel to a Singapore integration center is required.

Develops computer vision and deep learning solutions for semiconductor manufacturing and environmental monitoring. Responsibilities include building anomaly detection and automated inspection systems, applying generative AI and multimodal models, analyzing large datasets, deploying and monitoring production models, and communicating insights. The role also leads cross-functional collaboration, mentors engineers, and manages end-to-end data science initiatives.

Develop and deploy optimization, simulation, and ML models to improve semiconductor factory capacity, throughput, and cycle time. Partner with cross-functional manufacturing and engineering teams to analyze constraints, run scenario analyses, and deliver data-driven recommendations integrated into production pipelines and decision-support tools.

Develop computer vision and deep learning systems for industrial inspection, anomaly detection, and environmental monitoring. Build and deploy CNN, LSTM, transformer, generative AI, and multimodal models using large datasets from SQL, cloud, and image sources. Apply MLOps practices for monitoring, drift detection, versioning, and testing. Collaborate with engineering, operations, and quality teams while communicating results, managing projects, and mentoring engineers.

Partners with manufacturing, planning, and supply chain stakeholders to solve complex operational problems. Designs and deploys digital twins using operations research, mathematical optimization, and discrete event simulation. Develops production-grade applications, data pipelines, models, APIs, and user interfaces. Converts large datasets into decision-support tools, drives solution deployment across global manufacturing sites, and collaborates with data scientists, AI engineers, product owners, and domain experts.

Designs and owns scalable batch and streaming data pipelines, data models, and infrastructure for business and AI use cases. Partners with engineering and cross-functional teams to deliver reliable solutions, monitoring, governance, and data quality improvements. The role involves distributed data systems, real-time analytics, knowledge retrieval, and AI-ready infrastructure, with work based five days per week in Singapore.

Own regional data center vendor strategy and end-to-end colocation deals, including planning, RFPs, commercial negotiations, execution, vendor relationship management, QBRs, budgeting, spend review, and invoice approval. The role coordinates with legal, operations, capacity planning, network strategy, and security teams across multiple geographies to expand and optimize Cloudflare’s data center footprint.

Lead global customer success for a hyperscale data center customer, owning onboarding, service activation, retention, renewals, expansion, customer health, executive escalations, SLAs, and revenue outcomes. Build and mentor distributed teams across the Americas, EMEA, and APAC while establishing scalable operating models, metrics, tooling, and customer feedback processes. Partner with Sales, Operations, Product, Finance, Engineering, and Legal to strengthen multi-region enterprise relationships.

Leads end-to-end delivery of large-scale data, full-stack, cloud, and Generative AI engineering initiatives. Coordinates technical teams, dependencies, risks, milestones, and stakeholder communication while ensuring SDLC governance, architecture standards, security, regulatory compliance, and operational controls. Oversees modern application technologies, distributed databases, microservices, container platforms, CI/CD, and Agile delivery. Drives issue resolution, technical decision-making, and continuous improvement across complex financial-services systems.

Supports Sanofi Internal Audit through requirements gathering, data extraction, transformation, modeling, visualization, dashboard development, and analysis industrialization. The intern collaborates with audit teams, explores AI and GenAI applications, and contributes to reusable analytical assets using data from finance, commercial, human resources, and other business areas.

Owns DayOne’s integrated campaign strategy and annual activation calendar across multiple markets. Develops campaigns from objectives and audiences through channels, content, budgets, timelines, and measurement. Leads branded events, sponsorships, partner activities, roundtables, exhibitions, and digital programs while coordinating Events, Brand, Content, Digital, Communications, regional teams, agencies, and business stakeholders. Measures campaign performance and improves future programs.

Leads consulting, solution architecture, technical presales, and delivery guidance for enterprise data platform, analytics, and AI engagements. Translates business needs into target architectures, transformation roadmaps, deployment approaches, estimates, and proposals. Facilitates senior-client workshops, coordinates vendors and partners, advises post-award delivery teams, develops reusable assets, and mentors consultants. The role focuses primarily on Singapore public sector and enterprise clients.

Lead revenue growth for Execo’s AI data services business. Own annual bookings and revenue targets, define go-to-market strategy, lead complex enterprise deals, expand strategic accounts, develop technology partnerships, and build scalable sales motions. The role requires executive-level engagement with AI labs, model builders, and enterprise clients, along with disciplined forecasting, pipeline management, pricing input, and collaboration with delivery and marketing teams.

Lead AI transformation engagements across APAC, translating business opportunities into enterprise AI strategies, prototypes, production-ready solutions, and measurable outcomes. Build and deploy GenAI applications, AI agents, RAG solutions, intelligent workflows, and automations while ensuring security, governance, scalability, and adoption. Engage senior stakeholders, support proposals and business development, develop reusable methodologies, and coach consultants.

Leads APAC AI transformation engagements, enterprise AI strategy, prototypes, AI agents, RAG solutions, and scaled production deployments. Advises senior executives, drives adoption and value realization, manages multidisciplinary teams, develops AI offerings and methodologies, supports business development, and mentors consultants and technical specialists.

Lead modelling and analysis roadmap for FX products: forecast and monitor FX volatility, optimise trade execution with statistical/ML models, run customer and profitability analyses, and partner with product, trading, risk, and engineering to translate insights into trading and product decisions.

Conduct adversarial research against anti-bot and web fingerprinting systems, reverse engineer defenses, build and improve HTTP client solutions and machine-learning data collection methods to scale Bright Data's web data collection platform.

Leads engineering strategy, organization, performance, quality, and talent development for the CIS Domain in Singapore. Manages discipline heads across design, product ownership, software, cloud platforms, and innovation. Oversees engineering staffing, delivery, continuous improvement, Agile and Lean practices, digital development environments, and collaboration across multidisciplinary teams. Partners with domain leadership on business development and ensures engineering capabilities support cloud, software, AI, cybersecurity, and user-centric products and services.

Leads end-to-end delivery of full-stack, big data, and generative AI engineering initiatives. Coordinates technical teams, dependencies, milestones, risk mitigation, governance, and stakeholder communication. Oversees modern application architectures using Java, Python, databases, messaging systems, Kubernetes, cloud platforms, and AI frameworks. Drives Agile, CI/CD, DevOps, SDLC compliance, and continuous improvement while resolving complex technical issues across distributed systems.

Supports the development and evaluation of compliance-approved AI tools, research workflows, datasets, prompts, and analytical approaches for investment professionals. Combines alternative data, fundamental research, business analysis, and AI methods to generate actionable insights. Collaborates with researchers, product managers, data scientists, engineers, Compliance, and investment teams while testing outputs for accuracy, relevance, explainability, and usefulness.

Build and maintain production data systems on Palantir Foundry, including ontology models, ingestion pipelines, quality gates, performance optimization, and write-backs to RMS. Design APIs and custom applications, develop AI agent workflows, and support production LLM systems. The role requires strong backend and data engineering experience, SQL expertise, transactional integrity, API design, caching, auditability, and end-to-end delivery.

Designs and maintains scalable data pipelines, data products, backend services, data models, and enterprise data platforms supporting analytics, reporting, real-time decisioning, and AI. The role develops data governance, quality, monitoring, testing, and CI/CD solutions while collaborating with cloud, security, and architecture teams. It requires strong Databricks, Apache Spark, SQL, cloud data engineering, and software development expertise, with Terraform, streaming technologies, DBT, and Data Vault experience preferred.

Build and operate scalable scientific data pipelines and services integrating laboratory, OMICS, imaging, assay, formulation, consumer, and performance data. Implement metadata, provenance, versioning, identity resolution, access, semantic, and data-quality controls. Develop interfaces connecting repositories, knowledge graphs, analytical tools, computational models, and AI workflows. Monitor reliability, availability, dependencies, and performance while resolving bottlenecks and providing operational support for trusted analytical data foundations.

Designs and maintains scalable batch and real-time data pipelines, ETL/ELT processes, data warehouses, data lakes, marts, and APIs. Responsibilities include data extraction, cleaning, transformation, web scraping, database development, data integration, and backend support. The role collaborates with architects, analysts, developers, designers, and project managers in an Agile environment, using cloud platforms, big data frameworks, and modern data engineering tools.

Analyze preclinical and clinical imaging, biobank, and cohort data to support drug discovery. Develop imaging biomarkers and AI/ML-enabled image analysis algorithms, conduct literature and database research, collaborate with external research partners, and maintain data integrity, documentation, and compliance.