Senior Data Scientist

Overview

In this role you will own end-to-end data science projects that deliver tangible business value by building and deploying ML models. You will work with cross-functional teams to develop AI-powered solutions for major brands, translating complex analyses into actionable insights. You’ll contribute to both live products and incoming AI initiatives, shaping how data drives revenue and customer outcomes. This is an opportunity to scale applied data science within a growing analytics and tech business.

Responsibilities

• Lead end-to-end machine learning projects from analysis through deployment
• Develop customer segmentation, propensity modelling and churn prediction
• Build revenue and demand forecasting models
• Perform Python-based modelling, feature engineering and model validation
• Oversee production deployment, cloud infrastructure and MLOps
• Translate analyses into actionable commercial insights for product and client teams
• Collaborate with product, engineering and client teams to deliver AI-powered solutions

Key requirements

• 4-5 years of experience in data science or advanced analytics
• Strong mathematical, statistical or physics background
• Experience analyzing large volumes of first-party customer data (agency/retail/insurance environment preferred)
• Strong Python, SQL and Jupyter skills
• Hands-on experience with segmentation, propensity modelling and forecasting
• Proven ability to deliver end-to-end ML projects from analysis to deployment
• Commercially minded with strong communication and stakeholder management
• Experience in consultancy or agency environment is advantageous
• Cloud experience welcome; no specific platform required

• strong communication
• stakeholder management
• collaboration
• Python
• SQL
• Jupyter

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