Building a data science team for a fintech company

Fast-growing fintech platform

Challenge

The company needed to build its first data science and analytics team to support fraud detection and predictive modeling.

They required multiple specialized hires including:

  • Data Scientists
  • Machine Learning Engineers
  • Data Engineers
  • Competition for talent in the market was extremely high.

Our Approach

We created a targeted hiring strategy that focused on:
  • Data professionals with experience in financial modeling and risk analytics
  • Candidates who had previously worked with large-scale data pipelines
  • Professionals experienced in Python, SQL, and machine learning frameworks
  • We also worked closely with leadership to ensure competitive compensation and positioning of the company’s mission.

Result

  • 5 hires completed within 10 weeks
  • Successfully built the client’s first dedicated data science team
  • New team launched multiple predictive models within the first six months

Find the Right Talent Faster

Get expert guidance to build high-performing data and engineering teams—covering everything from defining a clear strategy and identifying top-tier talent to scaling your organization effectively and accelerating long-term growth.

We build teams that accelerate growth

We focus on positions where execution depends on the right people, timelines are tight, and mistakes are expensive.
Scroll to Top