OverviewSenior Data Scientist

role at

The Economist . 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

Identify and lead high-impact data science projects aligned with business goals

Collaborate with stakeholders to define project scope, success metrics and delivery plans

Design and implement advanced models using machine learning and statistical methods

Guide the team in delivering production-grade solutions in partnership with data engineering

Champion best practices in model development, evaluation and deployment (MLOps)

Communicate results and recommendations clearly to senior stakeholders across the business

Mentor junior members of the team and contribute to team development and technical standards

Help shape the roadmap for data science at The Economist

Experience, Skills And Professional AttributesThe ideal skills for this role are:

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

AI usage for your applicationWe are an innovative organisation that encourages the use of technology. We recognise that candidates may utilise AI tools to support with their job application process. However, it is essential that all information you provide truthfully and accurately reflects your own experience, skills, and qualifications.

What We OfferOur benefits package is designed to support your wellbeing, growth, and work-life balance. It includes a highly competitive pension or 401(k) plan, private health insurance, and 24/7 access to counselling and wellbeing resources through our Employee Assistance Program.

We also offer a range of lifestyle benefits, including our Work From Anywhere program, which allows you to work from any location where you have the legal right to do so for up to 40 days per year. In addition, we provide generous annual and parental leave, as well as dedicated days off for volunteering and even for moving home.

You will also be given free access to all The Economist content, including an online subscription, our range of apps, podcasts and more.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

Newspaper Publishing

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