About the role
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
We are recruiting for 2 Data Scientist positions.
Key accountabilities:
1. 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
2. To deliver high value analytical products and services to time and quality.
3. Support live products in running effectively and consistently, while continually looking forward to their continuous improvement through increased power of analytical insight
For full job description, please see role profile attached?
Skills, qualifications, and experience
4. Bachelor’s degree (or higher) in a numerate discipline, such as mathematics, statistics, computer science, operational research, data science, or a related field, or be able to demonstrate knowledge and work experience to an equivalent level
5. Good working knowledge of programming in Python and/or R (or equivalents) and the ability to write readable, efficient code
6. A collaborative nature and the ability to communicate effectively with both technical and non-technical audience
7. A natural curiosity and drive to find things out that really matter from data
8. Commercially aware and user-focussed
9. A high level of numerate, analytical, and logical thinking
10. Proven experience of developing, testing, and deploying statistical, numerical and/or machine-learning models
11. Proven experience in using data science to deliver improved business outcomes
12. Experience of data visualisation tools is desirable
13. Experience of coaching peers or junior members of staff
Package
Up to £37,000 - 12 Month Fixed Term Contract
14. Purpose-driven work in a charity-led organisation connecting people to education and opportunity
15. Internal training, mentoring, and access to industry-recognised certifications through our development academies
16. Hybrid working model built on trust and flexibility, with a 35-hour week and flexible contracts
17. 30 days annual leave, 3 concessionary days over Christmas, bank holidays, and the option to purchase additional leave
18. Everyday wellbeing support through Perkbox, offering discounts and wellness tools
19. Onsite facilities including a subsidised gym, café, and free parking at our Cheltenham office
20. Inclusive culture supported by employee
21. networks, wellbeing champions, and Mental Health First Aiders
22. Recognition and reward through our quarterly employee scheme and an ex-gratia bonus for going above and beyond
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 think 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 tou