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.
How will you contribute?
1. Help identify areas where data science can be applied to generate value for the business
2. Work with stakeholders and technical teams to propose data science projects
3. Execute data science projects using a range of datasets and techniques
4. Collaborate with other technical teams to deliver solutions as needed
5. Communicate the outcomes and value of your work to business stakeholders
The ideal skills for this role are:
6. Prior experience as a data scientist, ideally in a business that interacts with customers through digital channels
7. A solid understanding of statistical modelling, traditional machine learning and generative AI
8. Ability to write code to implement statistical models and machine learning processes in Python
9. Experience extracting, cleaning and preparing data for data science work including good knowledge of SQL
10. An understanding of MLOps best practices
11. Ability to communicate complex technical concepts to non-technical colleagues and practically deliver a data science solution to a business problem
12. A meticulous approach to all work, completed to high level of quality
13. The ability to work under time pressure while providing high quality output
14. The ability to work on your own with conviction to prioritise workload
15. Excellent communication skills (written and verbal)
Accountabilities
How will you contribute?
16. Help identify areas where data science can be applied to generate value for the business
17. Work with stakeholders and technical teams to propose data science projects
18. Execute data science projects using a range of datasets and techniques
19. Collaborate with other technical teams to deliver solutions as needed
20. Communicate the outcomes and value of your work to business stakeholders
Experience, skills and professional attributes
The ideal skills for this role are:
21. Prior experience as a data scientist, ideally in a business that interacts with customers through digital channels
22. A solid understanding of statistical modelling, traditional machine learning and generative AI
23. Ability to write code to implement statistical models and machine learning processes in Python
24. Experience extracting, cleaning and preparing data for data science work including good knowledge of SQL
25. An understanding of MLOps best practices
26. Ability to communicate complex technical concepts to non-technical colleagues and practically deliver a data science solution to a business problem
27. A meticulous approach to all work, completed to high level of quality
28. The ability to work under time pressure while providing high quality output
29. The ability to work on your own with conviction to prioritise workload
30. Excellent communication skills (written and verbal)
The Economist Group values diversity. We are committed to equal opportunities and creating an inclusive environment for all our employees. We welcome applicants regardless of ethnic origin, national origin, gender, gender identity, race, colour, religious beliefs, disability, sexual orientation, age or marital status.