Data Science & Analytics recruitment
Data science and analytics recruitment
Data titles have drifted apart from data jobs. The same title spans research, production machine learning and business reporting, which makes precise briefing the difference between a fast hire and a wasted quarter.
Roles we recruit
Data Science & Analytics roles we place
Every search is run by a consultant who specialises in this discipline, supported by a dedicated research function that maps competitor organisations properly.
- Data Scientist
- Machine Learning Engineer
- Data Engineer
- Analytics Engineer
- Data Analyst
- Head of Data
- Chief Data Officer
Market view
Briefing beats sourcing in data hiring
More data searches fail on specification than on supply. A business asks for a data scientist when the actual need is a data engineer to make the pipelines reliable, or hires a research-minded specialist into a role that is mostly stakeholder reporting. The hire is competent, the role is real, and the match is wrong. Our scoping process starts from the problems the role will solve in its first year rather than the job title, which is why we can move quickly once the brief is agreed.
Demand for applied machine learning and AI capability has pulled compensation sharply upward and compressed the time good candidates stay available. We benchmark your package against the live market before the search starts, and we structure processes to move at the speed this segment now requires.
Related
Other disciplines we cover
Start a conversation
Hiring in data science & analytics?
Tell us the role. A specialist who covers this market will reply within one working day, usually with a view on availability and benchmark compensation before we have even spoken.