Kantar
Senior Data Scientist - Consumer Twins
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Kantar
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.
Why this job is important
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 Consumer 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.
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Consumer 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.
What you’ll be doing
- 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
- Collaborating closely with engineers to deliver scalable, reliable model predictions
- Communicating technical insights clearly to non-technical stakeholders
The skills & experience you’ll need
- Solid experience working as a data scientist on real-world, production problems
- Strong Python skills (or a similar language used in applied data science)
- Experience with supervised learning and unsupervised techniques such as anomaly detection
- Exposure to cloud-based model training, deployment and automation
- A strong sense of ownership and accountability for data science outputs
- Experience working with large consumer datasets or high-traffic platforms is an advantage, but not essential.
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Our tech environment
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.
What’s in it for you
- 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
- Healthcare options
- Wide range of flexible benefits
Location
London or Reading
We are not able to offer visa sponsorship or assist with relocation support for this role. Please ensure you have the right to work in the country where this role is located before applying.
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