Lead Data Scientist MLOps

Global Media Group; Greater London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A prominent media organization in Greater London is seeking a Lead Data Scientist with extensive experience in MLOps. This role requires a strong foundation in machine learning to enhance business processes and mentor junior team members. You will collaborate closely with various business units to drive commercial insights and product development. Ideal candidates will have a degree in a quantitative field and expertise in Python and ML/AI methodologies, contributing to a vibrant and innovative data team.

Benefits

Inclusive workplace culture

Flexible working options

Collaborative team environment

Qualifications

• Demonstrable understanding and experience in predictive, prescriptive and generative ML/AI methodologies.
• Strong degree in a numerate subject (e.g., maths, data science, computer engineering).
• Extensive experience deploying, monitoring and maintaining ML/AI models in production.

Responsibilities

• Research and implement supervised and unsupervised learning techniques.
• Build and maintain scalable pipelines for model training, validation, deployment and monitoring.
• Lead cross-functional teams to deliver end-to-end data science projects.

Skills

Predictive ML/AI methodologies

Prescriptive ML/AI methodologies

Generative ML/AI methodologies

Python

SQL

MLOps platforms

CI/CD pipelines

Model performance monitoring

Software engineering best practices

Data analysis skills

Ability to mentor others

Education

Degree in a numerate subject

Tools

MLflow

Snowflake Intelligence

Job description

Accepting applications until :

30 January 2026

Job Description

Lead Data Scientist - MLOps

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 is to make everyone’s day brighter — our Globallers, our audiences, our partners. We’re in the studio building world‑class technology and securing record outdoor advertising partnerships. We make sure we’re doing it as a team.

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 key metrics to business stakeholders to drive commercial success, as well as productionising new and existing products in a scalable, robust and efficient manner. The role involves a large degree of collaboration and cross‑functional work with teams in our digital ad exchange platform (DAX) and exposure to our commercial outdoor and insights teams.

We are looking for a person with a data science and engineering skill set and an analytical mindset that takes keen interest in data and the insights they can provide and the opportunities they unlock. The role offers the opportunity to work in a well‑established data team in a fun, informal environment, working together with talented, like‑minded people who have a thing for data.

The role is based in Central London (primarily in Holborn with occasional travel to 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 prototype and evaluate new and current machine learning algorithms 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 (re‑training, versioning, monitoring, etc).

• Work closely with data and analytics engineering teams to deploy models into production environments.

• Support others in the data science and wider data team on MLOps best practices and ensure consistency of deployment across projects.

General responsibilities

• Lead cross‑functional teams to deliver end‑to‑end data science projects.

• Mentor junior members of the data team both technically and professionally.

• Manage stakeholder relationships to understand how the team's outputs can be used and positively affect 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.

• Maintain a flexible attitude toward learning new skill sets to adapt and meet the Data team's and wider business needs, including learning about and deeply understanding the advertising problem space and data opportunities.

• Contribute to team spirit by bringing curiosity and active involvement to how 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 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.
• Strong degree in a numerate subject (e.g., maths, data science, computer engineering).
• Expertise in Python and SQL.
• Experience with MLOps platforms (e.g., MLflow, Snowflake Intelligence) and CI/CD pipelines.
• Extensive experience deploying, monitoring and maintaining ML/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).
• Exceptional eye for detail, ability to work under pressure and deliver time‑sensitive work to a high standard.
• Professional manner with the ability to interact closely with senior management.
• Ability to lead and mentor others in your immediate team and beyond.
• Ability to explain analysis to non‑numerate people and empathise with their perspective.
• Ability to build and maintain relationships with a diverse audience.
• Can‑do attitude, positivity around data challenges and a natural inclination for extrapolating business problems and providing solutions utilising data.

Creating a place we all belong at Global

We are dedicated to creating a place where different voices are represented, amplified and we can serve our diverse audiences by first celebrating it in our people. That’s why we’re passionate about creating an inclusive culture where every Globaller can belong.

As a business we believe in the importance of a healthy work‑life balance and the value of a flexible and agile workforce. We operate a Smart Working model and will make any reasonable adjustments during your recruitment process; drop us an email and we’ll be happy to help.

Required Experience : IC

Key Skills

• Laboratory Experience
• Immunoassays
• Machine Learning
• Biochemistry
• Assays
• Research Experience
• Spectroscopy
• Research & Development
• cGMP
• Cell Culture
• Molecular Biology
• Data Analysis Skills

Employment Type : Full‑Time

Experience : years

Vacancy : 1