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Explore our vision: Incredible, effortless recruitment
£50k-£85k
Typical base salary
12 wks
Replacement guarantee
Applied, not academic
Ask about a model that went into production and made a difference, not a paper.
Business judgement
Look for someone who solves the right problem, not the most interesting one.
Communication
They must explain models to non-experts. Screen for clarity.
How to run the hire
1. Define the problems
Be clear on the business problems and data they'll work with.
2. Score for applied impact
Weight models that shipped and delivered over theory.
3. Source and approach
Approach candidates directly - the strong ones are usually employed.
4. Test with a real problem
Discuss how they'd approach a genuine problem you have.
5. Reference outcomes
Confirm their work made it into use and delivered value.
Fees typically run 18-22% of first-year salary, capped and agreed upfront.
Nothing is due until your hire starts.
Usually 5-9 weeks.
Strong applied data scientists are in demand, so a fair offer and quick process help.
A Data Scientist builds statistical and machine-learning models to predict outcomes, classify data or automate decisions.
They frame the problem, build and validate the model, and help put it into use, ideally solving a real business need.
If you need to understand what's happening, an analyst may be enough. If you need to predict or automate, a data scientist fits.
Many businesses over-hire here, so we'll help you scope honestly.
Try: Tell me about a model that made it into production and its impact.
How do you decide a problem is worth modelling?
How do you validate a model? and How do you explain results to a non-expert?
Yes, across finance, retail, healthcare and technology.
We weight applied, in-production experience over pure academic background, since that's what delivers value.
Tell us about your role and a specialist IT recruiter will call you. No fee until your hire starts.
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