UCAS is at the heart of connecting people to higher education.
UCAS is the world’s leading shared admissions service for higher education. We provide application services for UK universities and colleges as well as delivering a wide range of research, consultancy and advisory services to schools, colleges, careers services, professional bodies and employers.
We’re a successful and fast-growing organisation, which helps hundreds of thousands of people every year. We're committed to delivering a first-class service to all of our customers — they're at the heart of everything we do.
The Digital Services business unit is at the heart of UCAS’ technical innovation, data and infrastructure. It focuses on leveraging data science, technology, and enterprise architecture to enhance UCAS' digital products and services. The unit is dedicated to developing and improving customer-centric digital solutions, ensuring seamless and secure online experiences for all users. By providing insightful data and analysis, often made available to anyone with free-to-use intuitive dashboard, Digital Services empowers the Higher Education sector and those interested in the sector with valuable information to make informed decisions. By working in collaborative, expert led, multi-disciplinary teams, Digital Services drives UCAS’ mission to connect students with their next opportunities through advanced technological solutions.
The Data Scientist will be part of a team responsible for using critical thinking and data science techniques to support a wide range of customer outputs, including data product development, live data services, data consultancy, marketing optimisation, digital behaviour analysis and policy research. The Data Scientist will leverage the power of statistical analysis and machine learning to maximise the value of UCAS’ data assets.
Led by the Data Science Development manager you will support the delivery of products, services and analysis to time, cost, and quality. You will champion excellence and professionalism in Data Science and have the customer focus and curiosity to use data in new and exciting applications, while communicating this clearly externally and with a wider audience within the business.
Key accountabilities:
- Working with senior members of the team to support the delivery of projects and analytical data products at scale to time, cost, and quality.
- Analyse and integrate complex data sets using techniques such as visualisation, statistical analysis, and machine learning to generate robust, actionable insight.
- Translate briefs into analytical solutions. Design, build, and maintain analytical data products and standardised analysis through robust and reusable code.
For full job description, please see role profile attached.
Attachments
Attachment
Data Scientist - DSDev (May 2026) (1).pdf (437 Kb)
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