As our next Data Scientist, you'll play a key role in helping us build the UK's go-to home improvement marketplace. Analytics tooling — including AI — is doing more of the heavy lifting on execution, and this role is the human layer above it: making sure the numbers are right.
This role is perfect for someone with data science experience who enjoys working with data scientists on building models and systems with huge impact but also wants to own the strategy and direction of their work and work closely with the C-suite on driving the company forward with more intelligent, data-driven systems
Forget long lists, here's what you'll actually spend your time on:
Owning metric integrity — defining and governing what our numbers actually mean, so no one downstream is making a call off a flawed definition or a dodgy query.
Acting as the quality gate on AI-generated analysis — checking the logic, validating the output, and catching errors before they ever reach a stakeholder.
Designing and interpreting A/B tests — setting the success metrics, sizing the sample properly, and knowing when a result is underpowered rather than just running with it.
Diagnosing what's actually driving commercial performance — why revenue is moving, where leads are dropping out of the funnel, which segments are underperforming — and turning that into a structured investigation with real hypotheses.
Turning analysis into action — sizing the commercial impact, laying out the trade-offs, and helping the business decide what to do differently, then tracking whether it worked.
Building interactive dashboards and self-serve tools that keep stakeholders oriented day-to-day, without an analyst needing to be in the loop every time.
It's not about ticking every box. It's about turning up curious, ready to crack on. You'll do well here if you bring:
A track record across all three layers — not just producing analysis, but diagnosing the cause and driving the action that actually changed the outcome.
The analytical foundation to sense-check AI-generated work — fluency with SQL, Python and data concepts, so you know when an output is wrong before anyone else spots it.
Experience designing experiments and turning statistical findings into commercial recommendations that hold up under scrutiny.
A knack for explaining complex findings to non-technical audiences in a way that actually moves a decision — experience in a marketplace, subscription or lead-generation business, or with tools like Tableau or Looker, is a bonus rather than a must.
We believe great work deserves great rewards. Here's just a taste:
Competitive salary + annual bonus
Employee Share Programme
Health, well-being and learning support
Gym membership, Smart Tech Scheme and Cycle Scheme
Birthday/Special day leave
Buy & sell holiday scheme
1 week's paid charity leave and much more!
How we'll get to know each other:
Screening call with one of our Talent Acquisition Partners
1st stage: interview with the hiring manager
2nd stage: interview consisting of two speed rounds with stakeholders
Final stage: panel interview including a short analysis case study
If this sounds like the place where you can do your best work, we'd love to hear from you, even if you don't tick every box.
Want to join our Talent Community and be one of the first to know about our vacancies? Register your interest on our Registration Form
At the moment, this role isn’t open to visa sponsorship applications.
About us
We’re Checkatrade – the UK’s leading platform for finding a tradesperson. With more than 50,000 trades listed and over 6 million reviews, we help homeowners get jobs done right and help tradespeople grow their business.
We’re growing fast, with big plans to become the go-to brand for home improvements. If you care about great work, take pride in the details, and want to make an impact, you’ll fit right in.
Checkatrade London, England Office
21 Caledonian Road, London, United Kingdom, N1 9GB
