Data Scientist

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.

Business Unit Description

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.

About The Role

Contractual Hours : 35.00 hours per week.

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 asset. Led by the Principal Data Scientist, 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

• Explore existing and new data sets, and use a range of techniques including data visualisation, statistical analysis, unsupervised and supervised machine learning, and an enquiring mindset to derive valuable insights from data and communicate these effectively internally and externally.
• To deliver high value analytical products and services to time and quality.
• Support live products in running effectively and consistently, while continually looking forward to their continuous improvement through increased power of analytical insight.

Skills, Qualifications, And Experience

Package

Equality and Diversity Statement

Studies have shown that some groups of people are less likely to apply to a role unless they tick every box. At UCAS we recognise that talent comes in various forms and we are committed to delivering a fair and equitable recruitment process where applicants have an equal opportunity to demonstrate their skills. So, if you have what it takes, but don’t necessarily meet every single point on the job description, please still apply.

If you have any questions and would like to find out more about the role before applying please email the Talent Acquisition team via careers@ucas.ac.uk and one of us will be in touch shortly.

Working Arrangements

Is fully remote working an option? No

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