Case Study: Data AI

Coltech was engaged by a leading multinational data analytics and consumer credit reporting company that required urgent support for a large-scale Data and AI transformation project. With tight deadlines to deploy a suite of advanced AI-driven analytics solutions across multiple regions, the client needed to build a highly skilled team rapidly.

Project Outline

The client faced challenges sourcing talent with the right mix of Data and AI expertise, combined with experience in enterprise-level data systems. They required a staff augmentation partner capable of delivering the following roles under significant time pressure:

  • Data Scientists
  • AI/ML Engineers
  • Data Engineers
  • Cloud Architects (focused on AWS and Azure data platforms)
  • BI Specialists

The demand for these roles was compounded by a competitive talent market, a compressed hiring timeline, and the need to onboard resources quickly to meet strict regulatory deadlines and maintain market leadership.

The Solution Offered

Coltech stepped in as a trusted capability partner to provide a flexible and results-driven solution

Conducted a detailed briefing to understand the project requirements, including the AI models and data pipelines to be implemented.

Introduced a “Working interview” process, enabling high-quality professionals to begin contributing within 48 hours. This process had a 100% success rate.

Leveraged Coltech’s extensive global network to identify top-tier associates with relevant Data and AI expertise and industry experience.

Through our Rapid Response model, our client was able to scale their team dynamically to match project milestones and evolving demands.

The Conclusion

Coltech demonstrated the agility and expertise required for a high-pressure Data and AI transformation project. Our ability to rapidly deploy skilled professionals allowed the client to achieve critical milestones while maintaining flexibility and control over their staffing needs. This project showcased Coltech’s strength in delivering Capability solutions tailored to complex, data-intensive initiatives.