Burtch Works Industry Insights

Our 2H 2025 Hiring Survey provides an in-depth look at how companies are approaching staffing decisions, the types of roles in demand, and the skills they value most in new hires.

The triangle remains a muse for data scientists, as its patterns illuminate paths across various industries, bringing structure to chaos. Whether you're managing projects, forecasting demand, or simulating risk, the triangle provides a clear and strategic approach.

By relying on Burtch Works for top-quality domestic technical talent, your organization can confidently maximize the new R&D tax incentive, strengthen compliance, and streamline your path to innovation leadership.

Three Essentials to Attract and Retain Top Analytics Talent

The call for AI skills is undeniable. Ongoing digital transformation across industries means businesses are desperate for professionals who understand and can implement AI-driven solutions.

What types of AI roles does your team need? From engineers building machine learning models to managers aligning AI with business strategies, every role adds unique value to your AI initiatives. Here’s a guide to the key roles you should consider when building an AI-powered team.

The IT and AI employment market may be competitive, but it’s also brimming with opportunity. Make your move by staying informed, sharpening your skills, and seizing openings that align with where the industry is headed. For tech professionals and businesses alike, the time to adapt is now.

The collaboration between staffing providers and IT departments has shifted from a simple transactional exchange to a strategic partnership for delivering innovation and enabling scalability. By leveraging consulting solutions and SOW engagements, IT leaders can achieve faster timelines, cost efficiencies, and higher-quality outcomes that propel their organizations forward.

Cash flow underwriting isn’t just a buzzword; it’s a necessity for any lender looking to remain competitive in a rapidly evolving financial landscape. The shift to real-time, data-driven decision-making marks a turning point in how credit risk is assessed. By adopting modern tools like open banking APIs and AI-driven analytics, institutions can make smarter, more inclusive lending decisions.