Data Scientist

As a Data Scientist at the FT, you will shape the future of the products we build. By applying your analytical mindset, technical skills, and customer-first approach, you will help define the experiences we build for our subscribers and reach a wider and more diverse audience. You will be part of a supportive team that influences product strategy with dynamic cutting edge solutions, driven by our data and advanced data science and machine learning techniques. This is a unique opportunity for someone passionate about solving problems to advance a career within a growing Data Science team.

Collaboration is central to how we work. Teams of Data Scientists work together on projects alongside Developers, Product Managers, Marketers and Journalists. We believe a diverse set of opinions and backgrounds generate better ideas and solve problems faster. Our tech stack varies depending on the project, but usually involves R or Python and Google BigQuery, SingleStore or AWS Redshift. We place special importance on clear and engaging explanations of our projects and models.

We are lucky to be able to work on a wide range of ideas from across the FT. These include building metrics to understand customer behaviour; helping the business set data-driven targets; predicting which subscribers will cancel; measuring the gender balance of homepage images with facial recognition; quantifying the causal effect of user behaviour on engagement and customer lifetime value; segmenting our user base; recommending articles to users based on their reading behaviour; and many others. 

Role requirements
Essential

A friendly and collaborative approach to the people you work with
Proficiency with R and/or Python for data analysis and machine learning
Working with large data sets to solve complex problems
Building, deploying, testing and evaluating the performance of machine learning models on production systems and in end user applications
Motivation to help others keep up-to-date with the latest developments in Data Science and AI including AI ethics
 

Desirable

A talent for turning analytical results into compelling stories in written, verbal and visual form
Experience of collaborating with stakeholders to produce data-driven solutions (or a desire to do so)
Git or SVN knowledge
Interest in and experience with Large Language Models and/or Natural Language Processing (NLP)
Experience in agile teams or knowledge of agile methodologies
Experience in media and news
Experience producing Model[s] as a Service (MaaS)
Experience in A/B testing
Bachelors or Masters degree in Data Science, Maths, Physics, Computer Science, Engineering, Statistics, Economics, or other fields that use quantitative methods, or practical application of statistics and ML algorithms (e.g. Regression, Clustering, Decision Trees, Social Networks, Inference, Classification, Significance Tests, Time Series Analysis, Forecasting, Recommender Systems)