Senior Data Scientist

New Yesterday

Job Description

Senior Data Scientist - Forecasting, Propensity and Segmentation

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.

Apply
Location:
London
Category:
Technology

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