Senior Data Scientist (Python, SQL, Chatgpt – London)

Senior Data Scientist – Customer & Lifecycle Analytics 📍 London (Hybrid) | Full-time | £90,000–£105,000 + Bonus & Equity Are you ready to apply your data science expertise to tackle real-world churn, retention, and customer value challenges at scale? We’re building out a world-class Customer Analytics function and are looking for a Senior Data Scientist who thrives on turning data into business growth. This is more than just a modelling role — it's a chance to reshape how we understand, retain, and grow our customer base through deep insights, predictive modelling, and commercial innovation. 🔍 What You’ll Own As our Senior Data Scientist, you will lead the design and deployment of models that directly impact revenue, retention, and marketing ROI, including: • 🔁 Churn Prediction: Build and deploy predictive models that identify customers at risk of leaving — enabling proactive retention. • 💸 Customer Lifetime Value (CLV) Modeling: Forecast customer value at various lifecycle stages and support pricing, loyalty, and CRM personalization strategies. • 🧠 Customer Segmentation: Use clustering and behavioral analysis to identify and activate high-value cohorts. • 📊 Marketing Mix Modeling (MMM): Quantify the incremental impact of paid and owned marketing channels to guide investment and campaign strategy. • 🧱 Full ML Stack Ownership: Own the end-to-end data science lifecycle — from exploration and experimentation to deployment, monitoring, and stakeholder enablement. • 📈 Business Integration: Work directly with CRM, Product, and Growth teams to translate insights into measurable impact. • 🔄 Experimentation & Uplift Modeling: Design A/B tests, causal inference frameworks, and uplift models to identify the right customers to target. Our Tech & Tooling You’ll work with a modern stack including: • Python, SQL, BigQuery, Vertex AI, Databricks, DBT • ML frameworks: XGBoost, CatBoost, Scikit-learn, TensorFlow, SHAP/LIME • MLOps: Docker, CI/CD pipelines, model versioning and monitoring • BI: Power BI / Looker for insights and storytelling You’re Right for This Role If You... • Have 5+ years of applied data science experience, ideally in churn, lifecycle, or marketing analytics roles • Have built and deployed churn, CLV, or retention models into production • Can design and defend customer segmentation strategies • Are fluent in experiment design, causal impact, and uplift modeling • Know how to prioritize business value and can clearly explain model outputs to non-technical audiences • Love building for scale — not just notebooks, but products and systems that last • Bonus: experience with MMM, Bayesian modelling, or Recommender Systems Please do send across an up to date CV to eobiechefu@welovesalt.com