Location
Reading, King’s Road, United Kingdom

Hours
Flexible hybrid working

Salary
Negotiable

About the Role
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 will work on advanced modelling and analytics that improve the quality, reliability and performance of high-volume data systems. You will partner closely with engineering, operational and commercial teams, taking ideas from hypothesis through to deployment, ensuring models deliver real value once live. You will join a collaborative team of data scientists, analysts and engineers working on complex, mission-critical platforms that underpin insights delivered to some of the world’s best-known organisations.

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.

Key responsibilities include developing and deploying machine-learning models in production environments, working end-to-end across the data science lifecycle including 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, and communicating technical insights clearly to non-technical stakeholders.

You will 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.

Benefits include 25 days leave, 2 days paid volunteering and life event leave, competitive salary and bonus (dependent on role), company pension, enhanced parental leave, healthcare options and a wide range of flexible benefits.

Please note we are not able to offer visa sponsorship or relocation support for this role. Ensure you have the right to work in the country where this role is located before applying.

Experience
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. Experience working with large consumer datasets or high-traffic platforms is an advantage but not essential.

About you
A strong sense of ownership and accountability for data science outputs. Collaborative mindset to work closely with engineers and stakeholders. Ability to communicate technical insights clearly to non-technical audiences.

Qualifications
Relevant qualifications or equivalent experience in data science, machine learning or related fields are expected.