DATA SCIENTIST – HYBRID (London, 3 days a week)
£50,000–£75,000 based on experience
THE COMPANY
An opportunity to join a high-performing data team at a global marketing and customer experience company. You’ll work across a variety of data science challenges — from prototyping ideas to deploying full-scale ML solutions — in a fast-paced, collaborative environment.
This role is ideal for someone with strong technical foundations and a generalist mindset, looking to grow quickly and make a tangible impact across major client projects.
THE ROLE
As a Data Scientist, you will:
- Build and deploy machine learning solutions end-to-end, from SQL-based feature engineering to model development in Python and cloud deployment (AWS)
- Prototype and test new ideas that solve real business problems or spark client innovation
- Take ownership of workstreams within larger projects, with opportunities to lead as you grow
- Work across the stack — from APIs and infrastructure to model tuning and validation
- Communicate clearly with both technical and non-technical audiences
- Bring curiosity, pace, and clarity to everything you do
YOUR SKILLS AND EXPERIENCE
Must-Have:
- Degree in a STEM field or equivalent hands-on experience
- 1–4 years’ experience delivering ML solutions in production, ideally in fast-moving teams or startups
- Strong Python and SQL skills; experience building and deploying models end-to-end
- Familiarity with AWS (or similar), Git, and CI/CD pipelines
- Ability to work independently and manage priorities in a high-velocity environment
- Excellent communication and documentation under pressure
Nice-to-Have:
- Experience with marketing data or customer-level models (e.g. uplift, attribution, causal inference, campaign optimization)
- Familiarity with MLOps tools (e.g. MLflow, FastAPI, Airflow)
- Exposure to A/B testing and experimentation frameworks
WHY THIS ROLE IS DIFFERENT
This isn’t a narrow data science role — you won’t just tune models or clean data. You’ll do it all, with support where needed and freedom to explore. It’s the perfect step for someone who wants to move fast, own their growth, and help shape impactful AI solutions in a cross-disciplinary setting.
HOW TO APPLY
Interested? Apply via the link on this page with your CV.
