About FT Product & Technology
Here at the Financial Times, gold-standard journalism is just the beginning. 500-people strong, our Product & Tech team keeps us ahead of the ever-changing digital landscape by delivering cutting-edge products to over one million digital subscribers every day. Our plans for growth rely on a diverse, dedicated and dynamic group of product, tech, delivery and data specialists - everyone’s welcome in this friendly, forward-thinking team. And with entrepreneurial spirit, intelligence and opportunity at every turn, there’s no limits to where your FT career will take you.
About The Team
We are an applied data science team where our models and outputs directly impact and shape business decisions and customer behaviour. You will have the opportunity to work on a variety of project types from recommendations to forecasting.
About The Role
This role is an opportunity to develop your data science career and solve challenging problems. A successful Data Scientist would see their work used and applied at the centre of our internal tools, website and apps.
Main Responsibilities
- 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 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.
About You
The below is a list of our preferred competencies and skills for the role. If you do not fulfil every single point, we still encourage you to apply - we’ll review your application and determine whether your unique combination of skills and experience could add something different to the team.
- A friendly and collaborative approach to the people you work with.
- Bachelor or Masters Degree in a quantitative discipline, or intensive data science training (e.g. a bootcamp) or recent experience in data science, machine learning or statistical inference.
- Experience working with large datasets in R or Python
- A talent for turning analytical results into compelling stories in written, verbal and visual form.
- A practical understanding of machine learning techniques and hypothesis testing.
- An interest in current affairs.
- A fast learner with innate curiosity.
The below are a list of skills which would be a big ‘plus’ but, again, if you don’t have experience with the below that’s totally fine!
- Proficiency in SQL
- Software development experience
- Knowledge of the Google Cloud Platform or BigQuery
- Experience with Airflow
- Experience in media or a subscription business
How We Work
We offer a strict 35 hour working week to all staff in our London office. Our hybrid setup means staff are expected to come into the office 2 days a week on average. We operate flexibly and thus this 2 day a week figure should be taken as a general ratio of the time you will spend in the office.
Our office is located across the street from St. Paul's Cathedral and is easily accessible from all corners of London. There are the main train terminals such as Liverpool Street, Moorgate, Blackfriars, City Thameslink or Waterloo all situated within walking distance or there are several tube stations within a few mins walk such as Mansion House (District or Circle line), St. Paul's (Central line), Bank (Central or Waterloo & City line) or Barbican (Central, Hammersmith & City or Metropolitan lines).