Data Scientist

Found in: Talent UK C2 - 2 weeks ago

London, United Kingdom The Economist Full time

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?

Help identify areas where data science can be applied to generate value for the business

Work with stakeholders and technical teams to propose data science projects

Execute data science projects using a range of datasets and techniques

Collaborate with other technical teams to deliver solutions as needed

Communicate the outcomes and value of your work to business stakeholders

The ideal skills for this role are:

Prior experience as a data scientist, ideally in a business that interacts with customers through digital channels

A solid understanding of statistical modelling, traditional machine learning and generative AI

Ability to write code to implement statistical models and machine learning processes in Python

Experience extracting, cleaning and preparing data for data science work including good knowledge of SQL

An understanding of MLOps best practices

Ability to communicate complex technical concepts to non-technical colleagues and practically deliver a data science solution to a business problem

A meticulous approach to all work, completed to high level of quality

The ability to work under time pressure while providing high quality output

The ability to work on your own with conviction to prioritise workload

Excellent communication skills (written and verbal)

Accountabilities

How will you contribute?

Help identify areas where data science can be applied to generate value for the business Work with stakeholders and technical teams to propose data science projects Execute data science projects using a range of datasets and techniques Collaborate with other technical teams to deliver solutions as needed Communicate the outcomes and value of your work to business stakeholders

Experience, skills and professional attributes

The ideal skills for this role are:

Prior experience as a data scientist, ideally in a business that interacts with customers through digital channels A solid understanding of statistical modelling, traditional machine learning and generative AI Ability to write code to implement statistical models and machine learning processes in Python Experience extracting, cleaning and preparing data for data science work including good knowledge of SQL An understanding of MLOps best practices Ability to communicate complex technical concepts to non-technical colleagues and practically deliver a data science solution to a business problem A meticulous approach to all work, completed to high level of quality The ability to work under time pressure while providing high quality output The ability to work on your own with conviction to prioritise workload 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.

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