Data Science Manager (Remote) in Reading

Kantar is the world’s leading AI-native marketing data and analytics business and an indispensable brand partner to the world’s top companies. We combine the most meaningful attitudinal and behavioural data with deep expertise and advanced analytics to uncover how people think and act. We help clients understand what has happened and why and how to shape the marketing strategies that shape their future.

This role is about applying data science where it genuinely matters — in live, production environments that support large‑scale research operations around the world. As a Senior Data Scientist on the Digital Twins team you’ll work on advanced modelling and analytics that improve the quality, reliability and performance of high‑volume data systems. You’ll partner closely with engineering, operational and commercial teams, taking ideas from hypothesis through to deployment, and ensuring models deliver real value once they’re live.

You’ll join a collaborative team of data scientists, analysts and engineers, working on complex, mission‑critical platforms that underpin the insights delivered to some of the world’s best‑known organisations. Digital Twins at Kantar is an AI platform that simulates consumer behaviour at scale, enabling Kantar’s products to test scenarios and predict outcomes before they happen.

• Developing and deploying machine‑learning models in production environments
• Working end‑to‑end across the data science lifecycle: problem definition, modelling, deployment and monitoring
• Analysing new and existing data sources to improve decision‑making and model performance
• Designing feedback loops that continuously improve outcomes and data quality
• Solid experience working as a data scientist on real‑world, production problems
• Strong Python skills (or a similar language used in applied data science)
• Exposure to cloud‑based model training, deployment and automation
• A strong sense of ownership and accountability for data science outputs

You’ll work with modern data and analytics tooling across cloud platforms, including machine‑learning services, data pipelines and monitoring solutions. Our current ecosystem includes AWS technologies, with new development increasingly aligned to Azure.

Flexible hybrid working, ~25 days leave, 2 days paid for volunteering and life event leave, ~ Competitive salary and bonus (bonus dependent on role), ~ Company pension, ~ Enhanced parental leave, ~ Wide range of flexible benefits.

We are not able to offer visa sponsorship or assist with relocation support for this role. We shape the brands of tomorrow by better understanding people everywhere. And by amplifying our in-depth expertise of human understanding alongside ground-breaking technology, we can help brands find concrete insights that will help them succeed in our fast-paced, ever shifting world.

While we encourage teams to spend part of their working week in the office, we understand no one size fits all; our approach is flexible to ensure everybody feels included, accepted, and that we can win together. We’re dedicated to creating an inclusive culture and value the diversity of our people, clients, suppliers and communities, and we encourage applications from all backgrounds and sections of society.