Lead Data Scientist

Accepting applications until: 30 January 2026

Job Description

Job title:
Lead Data Scientist - MLOps

At Global, we think big, work hard, and never stand still. We’re the proud home of the best media and entertainment, driven by our talented and passionate people. Our mission? To make everyone’s day brighter - our Globallers, our audiences, our partners, and our communities.

Whether we’re in the studio, building world‑class technology, or securing record Outdoor advertising partnerships, we make sure we’re doing it as a team.

The Data team in Global is recruiting for a Lead Data Scientist with a strong foundation in MLOps to join an experienced team of data scientists, analysts and engineers. The role will be responsible for modelling, analysing and communicating to business stakeholders key metrics to drive commercial success as well as product ionising new and existing products in a scalable, robust and efficient manner.

The role will involve a large degree of collaborating and working cross‑functionally with teams in our digital ad exchange platform (DAX), as well as exposure to our commercial, outdoor and insights teams.

We are looking for a person with a data science and engineering skillset, and an analytical mindset that takes keen interest in data, the insight they can provide and the opportunities they unlock. The role gives the opportunity to work in a well‑established data team in a fun, informal environment, working together with talented, likeminded people that have “a thing” for data.

The role is based in central London (primarily in Holborn, with occasional travel to our site at Leicester Square).

• Model Development & Analytics (50%)
  Research and implement supervised and unsupervised learning techniques to improve Global’s internal business processes and propose new products to market.
  Actively work on prototyping and evaluating new and current machine learning algorithms sitting behind the scenes with Global.
  Present insights and recommendations clearly to both technical and non-technical audiences.
• MLOps & Productionisation (50%)
  Build and maintain scalable pipelines for model training, validation, deployment and monitoring.
  Refactor and optimise legacy models and processes for production use (performance, reliability, cost-efficiency).
  Automate model lifecycle management (retraining, versioning, monitoring etc).
  Work closely with the data and analytics engineering teams to deploy models into production environments.
  Supporting others in the data science and wider data team on MLOps best practices, and ensuring consistency of deployment across projects.

• Leading cross functional teams to deliver end to end data science projects
• Mentoring junior members of the data team, both technically and professionally
• Stakeholder management – understanding how the output from the team can be used and have a positive effect in downstream business processes.
• Explore and develop new data science products connected to our DAX platform to provide actionable insight and drive commercial value, touching on areas such as targeting, measurement, reach, and beyond
• A flexible attitude towards learning new skillsets to adapt and meet the Data teams and wider business needs, including learning about and deeply understanding the advertising problem space and data opportunities
• Contribution to the team spirit. We are a supportive and a high performing group and looking for someone who will bring curiosity and active involvement to the way that we work together with each other and the rest of the business.

Think Big:
Innovate with ML and AI solutions that can transform our business and drive growth.

Own It:
Lead products end‑to‑end – from idea to launch – and see the direct impact of what you build.

Keep it Simple:
Turn complex data science concepts into simple, effective and automated tools and processes.

Collaborate with diverse teams across Global, where every perspective is valued.

In your first few months, you’ll have:

• An understanding of our business operating model, especially in DAX but…