Data Scientist

Here at the Financial Times, our top-notch journalism is just the beginning. Our Product and Tech team, consisting of 500 experts, keeps us at the forefront of the rapidly evolving digital landscape by delivering top-tier products to over a million digital subscribers every day. Our growth plans rely on a diverse, dedicated and dynamic group of product, tech, delivery and data specialists - everyone’s welcome in this progressive, friendly, team. In an environment buzzing with entrepreneurial spirit, intelligence and opportunities, there's no limit to where your FT career can take you.

Discover more about the FT, including latest news and job opportunities, at aboutus.ft.com.

Role Overview

As a data scientist at FT, you will help research and build machine learning models that enable us to acquire and retain more subscribers. This is a fantastic opportunity for someone passionate about problem solving to advance within our growing data science team.

Collaboration lays at the core of how we work. Smaller teams of up to three data scientists collaborate on projects, working alongside developers, product managers, marketers and journalists. We believe that a diverse set of opinions and backgrounds generate superior ideas and quicker problem-solving. Our tech stack varies depending on the project and deployment, but usually includes R or Python, alongside Google BigQuery or AWS Redshift. Being a media company, we place significant importance on clear and engaging explanations of our projects and models.

We have the privilege of working on a broad range of ideas from across the FT. In the past, these have included recommending content topics for each user based on their reading habits, predicting which subscribers will cancel their subscriptions, and using facial recognition to monitor the gender balance of homepage images.

Skills required for success in this role 

Essential

• A friendly and collaborative attitude towards colleagues
• Experience with R, Python, or similar for data analysis or machine learning
• A knack for turning analytical results into gripping narratives in written, verbal and visual form

Desirable

• Experience with Airflow and Google Cloud Platform
• Familiarity with agile methodologies
• Practical or academic experience of machine learning techniques and hypothesis testing
• Database design or management knowledge
• Familiarity with Git or SVN
• R package development
• Experience in the media and news industry

In Return, We Can Offer You

• Annual bonus scheme

• 24/7 Employee Assistance Program

• 25 days of paid annual leave

• Private Health Insurance

• Life Insurance

• Generous Maternity and Paternity Leave policy

• Food Vouchers

• Multisport Card

• Work-life balance and remote work opportunities

• Both internal and external training courses

• A dedicated training budget for conferences, courses etc.

Anything else?

There's a lot going on at the Financial Times! Click to find out more about us on FT.com.

Don't hesitate to send us your CV!

Our commitment to diversity and inclusion in the workplace

At the FT, we aspire for all employees across all regions to have a voice, and for diverse perspectives to be heard and valued. We believe that a supportive workplace is one in which employees can be themselves at work and have the flexibility they need to cater to their personal needs. We'll continue to dismantle barriers for all and, particularly for employees from underrepresented groups.

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