Data Scientist
Checkatrade
full-time
Posted on:
Location Type: Hybrid
Location: London • 🇬🇧 United Kingdom
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
PythonPyTorchSQLTensorflow
About the role
- Experimenting with LLMs, retrieval-augmented generation (RAG) and other advanced approaches to improve matching, ranking and recommendations
- Building, testing and deploying production-ready models – from forecasting and NLP to classification and MMM – that power our core marketplace systems
- Working closely with Engineering, Product, Analytics and BI to ensure models are scalable, observable and delivering measurable impact
- Embedding AI and data science into everyday workflows so intelligence shapes every customer and trade experience
- Helping define how we responsibly experiment, evaluate and ship ethical AI through our internal AI playbook
Requirements
- Strong applied experience with SQL, Python, and modern ML frameworks such as PyTorch, TensorFlow and Hugging Face
- A proven track record of building and deploying production-grade machine learning models
- Comfort moving between rapid experimentation and rigorous model evaluation
- A pragmatic mindset – knowing when to fine-tune, when to use off-the-shelf models, and when simple beats complex
- Curiosity, creativity and a genuine drive to turn data into tangible, measurable impact
Benefits
- Competitive salary + annual bonus
- Health, wellbeing and learning support
- Flexible, remote-friendly working – with hybrid time in our Barcelona or London office
- Lunch vouchers to keep you fuelled while you build
- Birthday / special day leave
- Buy & sell holiday scheme
- 1 week’s paid charity leave – and much more
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SQLPythonmachine learningPyTorchTensorFlowHugging FaceNLPforecastingclassificationMMM
Soft skills
curiositycreativitypragmatic mindsetdrive to impactcomfort with experimentationrigorous evaluation