ABOUT US

The Financial Times is one of the world’s leading news organisations, globally recognised for its authority, integrity and accuracy, with a mission to deliver quality information and services worldwide.
At the FT, curiosity thrives and ambitious thinking is rewarded. Together, we help audiences stay better informed and deepen their understanding of the world around them.
Our Product & Tech teams drive us forward in an ever-evolving digital landscape, delivering cutting-edge products to over one million digital subscribers daily. Our growth relies on a diverse, dedicated and dynamic group of product, tech, delivery and data specialists.
With a supportive culture, entrepreneurial spirit and opportunities at every turn, there are no limits to where your FT career can take you.
Build a newsworthy career at the FT.

REQUIRED SKILLS AND EXPERIENCE

• Recent experience working with large datasets to solve complex problems
• Proven success delivering data science solutions within business environments
• Proficiency in R or Python
• Excellent written and verbal communication skills
• Experience managing and mentoring data scientists
• Ability to clearly communicate technical ideas through writing, visualisations, or presentations
• Strong organisational skills with experience in balancing multiple projects

THE ROLE

This is a unique opportunity for someone with experience managing data science projects and leading data scientists. You’ll head a team focused on growing our subscriber base and supporting our award-winning journalism.
You’ll collaborate across cross-functional teams of data scientists, ML engineers, developers, product managers, marketers and journalists to shape and deliver impactful projects. These range from personalising content recommendations to churn prediction and subscription optimisation. If you’re passionate about applying data science to business challenges in a creative, collaborative way, we’d love to hear from you.

KEY RESPONSIBILITIES

• Manage and develop a team of 5+ data scientists
• Work closely with external vendors and contractors
• Champion best practices in data science delivery through clear frameworks and guidance
• Collaborate with stakeholders to ensure models, products, and services meet business needs
• Lead strategic projects that embed data science into business decision-making
• Maintain and monitor ML models, ensuring they remain effective over time
• Scope and prioritise high-value projects, balancing deadlines and quality
• Communicate project outcomes clearly to both technical and non-technical audiences
• Promote the visibility and impact of data science across the FT