SCB DataX
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About
SCB DataX serves as the dedicated data and artificial intelligence arm of the SCBX group, functioning as a centralized hub for digital innovation and business intelligence. The primary purpose of the platform is to equip large-scale organizations with the necessary technological infrastructure to drive growth and improve customer experiences through data-driven decision-making. By consolidating research and development efforts, the tool provides a sophisticated environment where companies can access advanced analytics and intelligence tools tailored for high-stakes corporate environments. At its core, the platform operates on a leading-edge, cloud-native architecture that facilitates secure data exchange and the cross-pollination of insights across various business units. It goes beyond internal data processing by allowing for external data enrichment from strategic partners, which helps in creating a more robust and comprehensive data ecosystem. This collaborative approach ensures that intelligence is not siloed but is instead shared across organizations to maximize its strategic value and operational impact. The suite is specifically engineered for large enterprises, data scientists, and business leaders within the ASEAN region who require a scalable solution for complex data challenges. It is particularly effective for organizations operating within a group structure where sharing intelligence securely and efficiently is a priority. While it serves the SCBX group companies, it is also positioned as a strategic value creator for external partners looking to harness the power of AI to gain a competitive edge in the regional market. What distinguishes SCB DataX from other providers is its regional leadership and its recognition as an award-winning, AI-led company in the ASEAN tech community. Having secured prestigious wins at the World Business Outlook Awards and receiving promotion from the Thai Board of Investment (BOI), the platform is recognized for its contribution to digital innovation. Its focus on building next-generation solutions specifically for the regional economy makes it a unique player compared to global analytical tools.
Pros & Cons
Thai Board of Investment (BOI) promotion for state-of-the-art digital platform development.
Awarded leadership status in AI and Digital Innovation by World Business Outlook Awards 2025.
Supports external data enrichment from partners to enhance the depth of organizational insights.
Cloud-native architecture ensures scalability and secure data exchange between corporate entities.
Primary focus on the SCBX group ecosystem may limit applicability for small independent businesses.
Lack of transparent self-service pricing requires potential users to engage in a formal contact process.
Service offerings and physical support are heavily concentrated within the ASEAN region.
Use Cases
Enterprise data teams can use the cloud-native platform to exchange insights and drive operational efficiency across different business units.
Strategic business partners can leverage external data enrichment to gain deeper market insights and improve customer experiences in the ASEAN market.
Business analysts can utilize the platform's AI-led solutions to transform raw organizational data into actionable intelligence for regional growth.
Platform
Task
Features
• external data enrichment
• secure data exchange
• cloud-native data platform
• next-generation sharing solutions
• regional data leadership
• business intelligence tools
• ai-driven research and development
• cross-pollination of insights
FAQs
What is the primary mission of SCB DataX?
SCB DataX aims to provide technology, tools, and insights to drive growth and efficiency within the SCBX group. They focus on empowering organizations through transformative AI solutions and regional data leadership.
Does the platform support integration with external data sources?
Yes, the platform facilitates external data enrichment from various data partners. This allows users to combine their internal datasets with external insights for a more comprehensive business analysis.
What kind of infrastructure does DataX use?
DataX utilizes a leading-edge, cloud-native data platform and AI products. This architecture is designed to facilitate secure data exchange and next-generation intelligence sharing across business units.
Has SCB DataX received any industry recognition?
The company has won prestigious awards at the World Business Outlook Awards 2025 for leadership in AI and digital innovation. Additionally, it has been promoted by the Thai Board of Investment (BOI).
Pricing Plans
Enterprise
Unknown Price• Cloud-native data platform
• AI products and analytics tools
• Secure data exchange protocol
• External data enrichment
• Insight cross-pollination
• Business intelligence dashboards
• R&D for intelligence sharing
Job Opportunities
Security architecture
Drive organizational growth and operational efficiency using cloud-native AI products and data platforms designed for secure exchange and regional leadership.
Education Requirements:
Bachelor's Degree in Computer Science, Cybersecurity, Information Technology, or a related field
Master's Degree in Cybersecurity or a similar discipline (Preferred)
Experience Requirements:
5 to 10 years of experience in IT
at least 3-5 years in a dedicated cybersecurity role
Experience in network security, application security, cloud security, and data protection
Common career path involving roles like network/system administrator or software developer
Experience in security analyst, security engineer, or penetration tester roles
Other Requirements:
Certifications: CISSP, CCSP, CISM, SANS/GIAC, TOGAF, MS-100
Knowledge of TCP/IP, firewalls, VPNs, and IDS/IPS
Proficiency with major cloud platforms (AWS, Azure, Google Cloud)
Expertise in IAM solutions, encryption standards (AES, RSA, TLS), and DLP
Familiarity with industry standards (NIST, ISO 27001, CIS, GDPR, PDPA)
Responsibilities:
Creating robust security architectures and blueprints for IT projects
Ensuring "Security by Design" as a foundational element of technology projects
Evaluating and selecting security technologies (firewalls, IDS/IPS, DLP, IAM)
Developing and maintaining security standards and best practices
Conducting risk assessments, threat modeling, and overseeing vulnerability testing
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Solution Architecture (AI driven application)
Drive organizational growth and operational efficiency using cloud-native AI products and data platforms designed for secure exchange and regional leadership.
Education Requirements:
Bachelor's Degree in Computer Science, Software Engineering, or a related field
Master's Degree or PhD in AI, Machine Learning, Data Science, or Computer Science (Highly Desirable)
Experience Requirements:
7-10+ years in the technology industry
Strong background as a software developer, cloud engineer, or general solution architect
3-5 years of direct, hands-on experience working on data science and machine learning projects
Experience taking machine learning models from prototype to production environment
Other Requirements:
Deep expertise in major cloud providers (AWS, Azure, or Google Cloud)
Strong understanding of microservices, API design, and containerization (Docker, Kubernetes)
Proficiency with Python and ML libraries (Scikit-learn, Pandas, NumPy, TensorFlow, PyTorch)
Experience in specific AI domains (NLP, Computer Vision, Recommender Systems)
Knowledge of MLOps tools (MLflow, Kubeflow, SageMaker, Vertex AI)
Responsibilities:
Architecting data and feature pipelines for model training
Designing the blueprint for the entire ML workflow and environment
Evaluating and selecting appropriate technologies and AI/ML stacks
Architecting model deployment patterns (Real-time, Batch, Edge inference)
Integrating principles of Responsible AI (Fairness, Explainability, Transparency)
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Senior Security Operations Engineer
Drive organizational growth and operational efficiency using cloud-native AI products and data platforms designed for secure exchange and regional leadership.
Education Requirements:
Bachelor’s degree in Computer Science, Cybersecurity, or related field
Experience Requirements:
3–5 years experience in Security Operations or System Security Engineering
Focus on IAM, PAM, or endpoint security
Practical experience with Microsoft Defender, Intune, Entra ID, and CyberArk
Hands-on experience with Microsoft Sentinel and Microsoft security ecosystem
Other Requirements:
Microsoft Certifications: SC-200, SC-300, SC-400, AZ-500
Knowledge of SSO configuration (SAML, OAuth, OpenID Connect)
Understanding of Zero Trust architecture and endpoint hardening
Scripting knowledge with PowerShell or similar automation tools
Strong knowledge of log formats and security telemetry
Responsibilities:
Deploying, configuring, and monitoring Microsoft Defender for Endpoint
Managing enterprise identity lifecycle using Microsoft Entra ID
Administering Privileged Access Management (PAM) solutions with CyberArk
Acting as the main coordinator between internal teams and the corporate SOC
Optimizing Microsoft Sentinel for security monitoring and incident detection
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Ratings & Reviews
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