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.