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Senior Data Scientist

Posted: 19 Oct 2020 Closes: 28 Dec 2020
London (FT) Competitive
Permanent & Full-time JR005350

About Us

The Financial Times is one of the world’s leading business news organisations, recognised internationally for its authority, integrity and accuracy. The FT has a record paying readership of one million, three-quarters of which are digital subscriptions. It is part of Nikkei Inc., which provides a broad range of information, news and services for the global business community.

We have offices in more than 35 cities, including London, New York, Hong Kong, Beijing, Manila, Sofia, San Francisco and Tokyo. Join us and find an inclusive and fast-paced environment with unique opportunities to support every step of your career. 

Learn more about the FT, including announcements and career opportunities, at

Role Overview

This is a unique opportunity for someone passionate about solving problems to advance a career within data science. Over the past three years, the Data Science team has grown substantially and established itself as an independent source of truth and strategic advice for the whole business. 

As our digital growth has accelerated and we have emphasised growth in reader engagement our operations continue to become ever more interdisciplinary. Our testing mindset and focus on empowering multi-discipline teams also means that focus and priorities often need to change. This requires new levels of collaboration across teams and departments. At the same time, we are investing more than ever in our data capabilities as the department and influence of data grows. The continued growth of our data science capabilities will help us navigate these changes by taking a greater level of ownership and 

The successful Senior Data Scientist will be collaborating with business stakeholders to understand business problems and asking the right questions from which to exploit data. This will involve using statistics and data analysis to fill in gaps in our product and customer knowledge. You will research, develop and evaluate statistical algorithms and predictive models, and work with engineering teams to guide models through to production and automation.

What you will be responsible for

  • Championing Data Science capabilities across the business
  • Explaining techniques, results and ideas to colleagues, many of whom have not worked with data

  • Advising product managers on experimental design and metrics

  • Working with stakeholders and team members to identify and develop 

  • Building, documenting and testing machine learning pipelines

  • Applying statistical techniques to our web, subscription and content data in order to answer interesting questions

  • Working on both solo and collaborative projects

  • Explaining techniques, results and ideas to colleagues, many of whom have not worked with data

  • Advising product managers on experimental design and metrics

  • Sharing your work with the rest of the team, and reviewing the work of other team members

  • Assist in managing, mentoring and upskilling junior members of the team. 

Experience/skills you need to be successful in this role 


  • Bachelor or Masters Degree in a quantitative discipline : Statistics, Mathematics, Operations Research, Computer Science, Engineering, Economics, Physics etc 

  • Experience working as a data scientist in a R environment

  • Expertise in applied statistics and analytical models that spans a range of disciplines, e.g. Regression, Hierarchical & K-Means Clustering, Decision Trees, Text Mining, Social Networks, etc

  • Proficiency in SQL

  • Strong knowledge and experience on Excel

  • A commercially minded individual - ability to understand the commercial imperatives behind the data needs

  • Experience communicating with technical and non technical audiences.

  • Strong understanding of data warehousing principles and challenges presented when working with large data sets

  • Outstanding communication and interpersonal skills with high levels of enthusiasm and a good team player

  • An ability to work in mixed teams of colleagues and senior executives. 

  • Self-motivated, with ability to manage and follow up on multiple tasks simultaneously.


  • Knowledge of Python

  • Knowledge of Shiny

  • PostgreSQL experience.

What’s in it for you? FT Benefits

Our benefits vary depending on location, but we are committed to providing best in class perks across all our offices as well as an inclusive environment to develop your career. Examples of our benefits include; extensive learning and development opportunities (e.g. training on Tableau, R, SQL, etc), generous annual leave allowances (25 days annual leave, rising to 30 + additional flexi-days), flexible working, double match pension plan (up to 12%), medical cover, enhanced maternity & paternity packages and subsidised gym memberships. Full details of our benefits can be found here.

Further Information

The FT is committed to providing an inclusive working environment for all. We are an equal opportunities employer who seeks to recruit and appoint the best talent regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion and/or belief. We also promote flexible working and will consider specific requests around flexibility for all roles where it can be accommodated. Please let us know if you require any adjustments as part of the application process or to enable you to attend an interview. If you would like to discuss your requirements, or have any questions, please contact a member of our HR team who will be happy to help.

Financial Times

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