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- 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, generous leave, competitive salary, and a range of benefits.
- Other info: Work in a supportive environment that values diversity and mental well-being.
- Why this job: Be part of a collaborative team solving complex problems with cutting-edge technology.
- Qualifications: Experience in data science, strong Python skills, and a passion for real-world applications.
The predicted salary is between 60000 - 80000 ÂŁ 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.
Responsibilities
- 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
Qualifications
- 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.
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.
Benefits
- 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
Reading, King’s Road United Kingdom
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.
Equal Opportunity
We want to create an equality of opportunity in a fair and supportive working environment where people feel included, accepted and are allowed to flourish in a space where their mental health and well being is taken into consideration. We want to create a more diverse community to expand our talent pool, be locally representative, drive diversity of thinking and better commercial outcomes.
Senior Data Scientist - Digital Twins in Reading employer: Kantar
Contact Detail:
Kantar Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Digital Twins in Reading
✨Tip Number 1
Network like a pro! Reach out to current employees at Kantar or in similar roles on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Showcase your skills! Create a portfolio of your data science projects, especially those involving machine learning models. This will help you stand out and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and understanding cloud-based model deployment. Practice explaining your past projects clearly, as you'll need to communicate complex ideas to non-tech folks.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team.
We think you need these skills to ace Senior Data Scientist - Digital Twins in Reading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Data Scientist. Highlight your experience with machine-learning models and any relevant projects that showcase your skills in real-world production environments.
Showcase Your Skills: Don’t just list your technical skills; demonstrate them! Include specific examples of how you've used Python or similar languages in your previous roles, especially in deploying models and improving data quality.
Communicate Clearly: Remember, you’ll be working with non-technical stakeholders. Use your application to show how you can communicate complex ideas simply and effectively. This will set you apart from other candidates.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Kantar
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially around machine learning models and their deployment. Be ready to discuss your experience with Python and any relevant projects you've worked on, particularly those involving real-world applications.
✨Showcase Your Collaboration Skills
Since this role involves working closely with engineers and other teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight any experiences where you’ve communicated complex technical insights to non-technical stakeholders.
✨Understand the Business Impact
Demonstrate that you understand how data science can drive value in a business context. Think about how your work has improved decision-making or model performance in previous roles, and be ready to discuss specific outcomes.
✨Ask Insightful Questions
Prepare some thoughtful questions about the Digital Twins platform and its impact on consumer behaviour. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values, especially regarding diversity and inclusion.