Holborn - London
Technology
#
R0008863
Permanent Employee (Regular)
Accepting applications until:
6 March 2026
**Job Description
Job title: Lead Data Scientist
Your new role**
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 productionising 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)
Key Responsibilities
- 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
General responsibilities
- 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.
**What You’ll Love About This Role
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.
Better Together: Collaborate with diverse teams across Global, where every perspective is valued
What Success Looks Like
In your first few months, you’ll have:
- An understanding of our business operating model, especially in DAX but also across our other business streams (Audio and Outdoor) and knowledge of our datasets, applications and the data workflows that we work with.
- Exposure to our existing suite of data science products, solutions and tools across targeting, measurement and consumer analytics.
- Deployed at least one data science product within DAX (new or legacy) into a scalable production environment
What You’ll Need
- Demonstrable understanding and experience in predictive, prescriptive and generative ML/AI methodologies.
- A strong degree in a numerate subject (e.g. maths, data science, computer engineering)
- Expertise in Python and SQL - generally someone who gets excited by code.
- Experience with MLOps platforms (e.g., MLflow, Snowflake intelligence) and CI/CD pipelines.
- Extensive experience deploying, monitoring and maintaining ML and AI models in production.
- Strong understanding of model performance monitoring, logging, and alerting frameworks.
- Knowledge of software engineering best practices (version control, testing, code reviews).
- An exceptional eye for detail, ability to work under pressure and deliver time-sensitive work to a high standard.
- A professional manner with the ability to closely interact with senior management.
- The ability to lead and mentor others, in your immediate team and beyond
- The ability to explain analysis to non-numerate people and empathise with their perspective.
- The ability to build and maintain relationships with a diverse audience
- A can-do attitude, positivity around data challenges and generally a natural inclination for extrapolating business problems and providing solutions utilising data.
Creating a place we all belong at Global
Just like our media and entertainment platforms are for everyone, so are our workplaces. We know that we can’t possibly serve our diverse audiences without first nurturing and celebrating it in our people and that’s why we work hard to create an inclusive culture for everyone. We believe that diversity will set us apart, so no matter what you look like, where you come from or what your favourite radio station is, we want to hear from you.
We will always seek to make appropriate adjustments to the recruitment process and workplace to be fully inclusive to people with different needs and working styles. If you require us to make any reasonable adjustments for you or to disclose a condition, please email [email protected]
We are Global
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—whether it’s our Globallers, our audiences, our partners, or the communities we touch. From creating shows to making headlines, brightening everyone’s day is at the heart of everything we do.
Perks & Rewards
We offer inclusive perks and rewards, so you can get the best out of Global.
Lifestyle
A little extra, for the moments that matter. 25 days holiday with an extra day off to celebrate your Global anniversary, free mortgage advice, purchase up to 5 days additional holiday, enhanced family leave, accessibility leave, and much more.
Health
Put your health first with free Headspace membership for you and a loved one, access to a 24/7 virtual GP, nutrition coach, healthcare, and dental discounts.
Financial
Protection in the important moments. Long sickness insurance, 4x salary protection, cashback benefits, discounted gym memberships, pension, discounted travel insurance, and much more.
How we hire
Got your eye on a role?
- ### Submit application
If one of our roles has caught your eye, the first step is to submit your application. You’ll be asked for a CV, and sometimes a cover letter too. We love nothing more than seeing what you’re passionate about, so portfolios, videos and demos are always a great addition at this stage.
The process
If we think you’re a great fit, one of our team will get in touch for a chat. This will usually be an informal call, where we get to know each other a little better. After this, you’ll go into a first stage interview with the hiring team.
Interview and meet the team
This is where you’ll meet your potential manager, and some of your teammates. Sometimes these interviews include a task to complete ahead of time, which you’ll run through in the session. Aside from the task, it’s a good idea to look through our values and see how they align with your own. We also love questions — so don’t forget to use this as an opportunity to interview us too.
What's next?
After all interviews are completed, we’ll get back to you as quickly as possible. This is usually within a few weeks of applying, and slightly longer for busier roles. If our stars align, our recruitment team will be in touch with the good news! They’ll talk you through the next steps, like signing your contract and the onboarding process. If you’re not successful this time round, it's likely that you’d be great for another position so we would love to keep in touch!