WHO WE ARE

We are an organisation that exists to drive progress. That’s the “red thread” that connects everyone at The Economist Group (TEG). Our businesses share a devotion to innovation, independence and rigour in their fields of expertise. We empower people to understand and tackle the critical challenges and changes facing the world. Our analytical rigour, global expertise and evidence-based insights enable individuals and organisations to make sense of these shifts and chart a course through them.
We deliver analysis and insights in many formats to subscribers and clients in 170 countries through our four businesses, The Economist, Economist Impact, Economist Intelligence and Economist Education, which uphold our global reputation for excellence and integrity.
Introduction
The Economist is seeking an experienced Data Scientist to join our Data Science Team. Our Data Science Team is a central source of data skills working across all commercial teams in the business. Reporting to the Head of Data Science you will be leading the application of data science across the business including predictive modelling, NLP and content recommendation.
We believe that data science can bring us a better understanding of our customers’ needs, opportunities to improve their experience and a clearer view of what is driving our business performance. In this role you will help advance The Economist’s data science capability, bringing projects to production and cementing the role of data science in the way our business operates. You will be doing hands-on data science work with a variety of datasets. You will be directly speaking to stakeholders across the business to understand their needs and explain your work, while collaborating with data engineers, insight analysts and researchers to deliver projects cross-functionally.
We believe data science is essential to the success of our business. This role is an opportunity to apply data science to make a real difference to The Economist’s business.
Accountabilities

• Extensive experience as a data scientist, with a track record of delivering projects in digital customer-facing environments
• Deep understanding of statistical modelling, machine learning and natural language processing
• Expertise in applying Generative AI to enhance traditional natural language processing tasks, prompt engineering, integrating LLMs into machine learning workflows
• Strong Python skills and familiarity with libraries such as scikit-learn, pandas, NumPy, PyTorch or TensorFlow
• Advanced SQL skills and experience working with complex, high-volume datasets
• Practical experience with MLOps tools and practices for deploying and maintaining models
• Experience leading projects and collaborating across cross-functional teams
• Ability to influence stakeholders and communicate complex ideas clearly to non-technical audiences
• A rigorous, detail-oriented approach to scientific and technical work
• Comfort working independently in fast-paced, ambiguous situations, with a proactive mindset
• A passion for using data to make a measurable difference to business performance
  

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