Data Science Recruitment

Data Science Recruitment

Our Data Science recruiters work across the full data stack, helping teams find people who can move a product or platform forward without slowing delivery. We’ve supported data, AI and engineering teams for over a decade, which gives us a clear view of what strong data hires look like and how they fit within wider product and tech groups.

We don’t treat data roles as one broad category. Each brief asks for its own mix of modelling, engineering, and commercial judgement. That’s why every search starts with understanding your data maturity, the problem you need solved, and the type of person who can make an impact from day one.

Our team knows the practical differences between Data Scientists, ML Engineers, Analysts, Research Scientists and MLOps Engineers. This helps shape clear scopes and avoids hiring someone with the wrong focus for the outcomes you need.

We stay close to senior data talent across the UK, Europe and the US. Many don’t apply for roles and only move when the brief feels right. These relationships help our data recruitment teams to reach people who are passive on the job market but highly skilled in the right areas.  

We don’t rely on job boards. Each search is driven by direct outreach to people who fit your domain, data setup and pace of delivery. This keeps shortlists accurate and helps you hire faster with fewer interview rounds.

We’ve helped clients hire senior ICs, full data functions and short-term specialists. Recent work covers:

Senior and Lead Data Scientists
ML Engineers
NLP and Computer Vision specialists
MLOps Engineers
Heads of Data Science
Contract, interim and fractional data roles

We stay up-to-date with salary trends, role scopes and candidate supply. The markets within tech shift quickly, and honest advice helps teams avoid stalled searches or unrealistic expectations. Our approach supports both new data functions and mature teams growing headcount.

Data Science Market