Lead Data Scientist at Financial Times

The Financial Times is a globally recognized news organization, celebrated for its commitment to accuracy, integrity, and authority. We strive to provide quality information to readers around the world, and our success is driven by a culture that rewards curiosity and ambitious thinking. Our Product and Tech teams are at the heart of this mission, delivering innovative digital products to over one million subscribers every day. We are currently looking for a talented professional to join our diverse group of specialists and help us continue to evolve in a dynamic digital landscape.

About the Role

We are seeking a Lead Data Scientist to join us on a full-time basis. In this role, you will manage a team of data scientists while overseeing projects that directly support our award-winning journalism and subscriber growth. You will bridge the gap between technical execution and business strategy, collaborating with engineers, product managers, and journalists to deliver impactful solutions like content personalization and churn prediction.

Key Responsibilities

• Lead, manage, and mentor a team of five or more data scientists to foster professional growth and high-quality output.
• Collaborate with cross-functional stakeholders to ensure that data products, models, and services align with our broader business objectives.
• Champion best practices in data science by establishing clear frameworks and communicating project outcomes effectively to both technical and non-technical audiences.

Requirements

To be successful in this position, you should bring a blend of technical expertise and leadership experience. We are looking for the following qualifications:

• Proven experience in managing and mentoring data science teams.
• Demonstrated success in delivering data science solutions within a business environment using Python or R.
• Strong proficiency in working with large datasets to solve complex problems.
• Excellent communication skills, with the ability to articulate technical concepts through visualizations, presentations, or writing.
• Strong organizational skills, specifically the ability to balance multiple projects and priorities effectively.
• Familiarity with modern data tools such as AWS, Spark, and Kafka is highly valued.

Location

This position is based in the United Kingdom.

Compensation and Benefits

We are proud to offer a comprehensive benefits package designed to support your well-being and professional life. Our perks include:

• Hybrid work model to support flexibility and in-person collaboration.
• Paid time off.
• Medical insurance.
• Free gym membership.