Data Scientist – Mid-Senior Level

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November 28

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Utility Warehouse

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Energy • Telecommunications

Utility Warehouse is a UK-based company offering bundled services including energy, broadband, and mobile to maximize customer savings. They provide incentives such as up to 10% cashback on spending and offer coverage for termination fees up to £400 when switching from other providers. Utility Warehouse promotes a streamlined billing system with a single bill for multiple services, intending to offer competitive prices compared to major suppliers. The company emphasizes excellent customer service and has received multiple industry awards. Customers can choose from various services and enjoy significant savings through their cashback scheme.

1001 - 5000 employees

Founded 1996

⚡ Energy

📡 Telecommunications

📋 Description

• Design and execute advanced statistical and predictive models to understand the key drivers of customer behaviour, retention, and engagement. • Develop and refine sophisticated models to measure and predict key commercial outcomes and customer behaviours (e.g., lifetime value, acquisition efficiency), providing critical insights to our marketing and commercial teams. • Own the complete development lifecycle for your machine learning models, from data gathering, feature engineering, and POC to model training, validation, and production deployment. • Partner with our Machine Learning and Software Engineering teams to deploy your models as scalable, reliable, and robust services using Docker and Kubernetes. • Clearly document and communicate complex findings, model results, and actionable insights to both technical and non-technical stakeholders. • Keep up to date with the latest research and developments in data science, machine learning, and MLops, and champion new approaches within the team.

🎯 Requirements

• Proven experience (e.g., 3-5+ years) in a data scientist role, tackling complex, high-impact business problems like customer behaviour analysis, segmentation, or commercial value modelling. • A deep understanding of machine learning theory and practical application (e.g., regression, classification, clustering, time-series forecasting, survival analysis). • Solid object-oriented programming skills in Python and hands-on expertise with the core data science stack (Pandas, Numpy, Scikit-learn, XGBoost/LightGBM). • A proven ability to break down vague, complex problems into concrete, solvable steps. • Excellent communication and data storytelling skills. You can build strong relationships and manage expectations with diverse stakeholders.

🏖️ Benefits

• An industry benchmarked salary. • Share Options and Save as You Earn scheme. • Enjoy a discount on our services and receive our coveted Cashback Card for free. • A matched contribution pension scheme and life assurance up to 4x your salary. • Family-friendly policies, designed to help you and your family thrive. • Discounted private health insurance, access to an Employee Assistance line and a free Virtual GP. • Belonging groups that help UW shape an even more inclusive future. • A commitment to helping you develop and grow in your role.