Senior Data Scientist
London – Hybrid
Up to £80,000 + Benefits
About the Role
Join a fast-scaling AI-first SaaS company that’s helping major consumer brands turn first-party data into real commercial value. As a Senior Data Scientist, you’ll own the end-to-end delivery of machine learning models that drive revenue growth, improve customer retention, and optimise decision-making. You’ll work on high-impact challenges like forecasting, churn prediction, customer segmentation, and commercial uplift—delivering solutions that are accurate, explainable, and production-ready.
Key Responsibilities
* Build machine learning models for forecasting, propensity scoring, and segmentation
* Own workflows from data wrangling and feature engineering through to deployment and monitoring
* Operationalise models using MLOps tools in a cloud-native environment
* Architect datasets by merging structured and semi-structured data
* Work closely with engineers, product managers, and clients to align models with business needs
* Present insights in a clear, creative, and commercially relevant way
* Contribute to best practices in experimentation, reproducibility, and code quality
* Mentor junior data scientists and support the growth of the team
We’re looking for someone with:
* 3–5 years’ experience in a Data Science, AI, or ML-related role
* Experience with forecasting, propensity and segmentation
* Strong Python skills and experience with libraries like scikit-learn, pandas, and Prophet
* Hands-on experience developing and deploying ML models in production
* A track record of working across the full ML lifecycle in a fast-paced environment
* Excellent communication and storytelling skills—able to explain models and outcomes clearly
If this role looks of interest, please reach out.
This role cannot offer sponsorship.