At a Glance
- Tasks: Develop and deploy machine-learning models that make a real impact in live environments.
- Company: Join Kantar, a leader in AI-driven consumer behaviour insights.
- Benefits: Enjoy flexible hybrid working, 25 days leave, and competitive salary with bonuses.
- Other info: Work with modern cloud technologies and enjoy excellent career growth opportunities.
- Why this job: Be part of a collaborative team solving complex problems with cutting-edge technology.
- Qualifications: Solid data science experience, strong Python skills, and a passion for real-world applications.
The predicted salary is between 70000 - 90000 £ per year.
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.
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.
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
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.
Senior Data Scientist - Digital Twins in Reading employer: Kantar Group
Kantar is an exceptional employer for a Senior Data Scientist, offering a dynamic work environment in Reading where innovation meets real-world impact. With a strong emphasis on collaboration and professional growth, employees benefit from flexible hybrid working, generous leave policies, and a competitive salary package, all while contributing to cutting-edge AI solutions that shape consumer insights globally.
