Research Data Scientist

About usUCL is a world-leading teaching and research university, often ranked in the top ten in the world with an annual turnover of well over 1 billion. Part of UCL’s vision is to take on the hardest global challenges. The UCL Centre for Advanced Research Computing (ARC) is UCL’s new institute for infrastructure and innovation in digital research - the supercomputers, datasets, software and people that make computational science and digital scholarship possible.We are an innovative hybrid: a professional services department that delivers reliable and secure infrastructure and services to UCL research groups, and a laboratory for research and innovation in the application of advanced computational and data intensive research methods, working in partnership with academics from all fields.

We are a home for the research technology professionals - research software engineers, HPC systems engineers, dev-ops specialists, data engineers, data scientists and data stewards - who support and collaborate in the delivery of UCL researchAbout the roleWould you like to work with complex data and bridge cutting-edge AI with domain research?Research Data Scientists (also known as AI Engineer, Data Scientist, Machine Learning Specialist, Computational Statistician):Conduct collaborative research to extract knowledge and insight from datasets using a variety of mathematical, statistical and computational approaches.Develop software and scripts to implement these analyses in robust and reproducible ways.Work with research infrastructure developers to deploy these to production.You will, in all subject areas, provide data science expertise and services to world-leading research teams, training researchers in best practices, and working with scientists and scholars to build workflows, analyses and software to meet new research challenges. With such a varied job we don’t expect our candidates to know it all from the start. It is an excellent opportunity to develop new skills, spending time to study both the research areas we support and the specialist technologies appliedAbout youWe are specifically looking for candidates with hands on experience in Agentic AI and LLMs, as well strong background in mathematics and understanding of deep learning architectures.The successful applicant will also have experience of analysing, researching, and solving complex computational data analysis problems.

You will be able to communicate well with researchers, and present complex or technical information to a range of stakeholders. A relevant degree orequivalent professional experience is required according to seniority.We are looking for candidates who have addressed complex data science problems in at least one field, but more importantly, who can build an understanding of new scientific questions, and see how to translate research needs to technology requirements. We are deeply committed to data science best practices and their application in research contexts.

You should share our enthusiasm for reproducible, reliable computational research, and be able to help to spread that to our research community.In addition, ARC aims to help you develop your own research ideas in data science and connected areas. You will be able to set up research initiatives, bid for funding, exchange/collaborate within ARC themes across a range of novel digital research.What we offerAs well as the exciting opportunities this role presents, we also offer some great benefits some of which are below:41 Days holiday (27 days annual leave 8 bank holiday and 6 closure days)Additional 5 days’ annual leave purchase schemeDefined benefit career average revalued earnings pension scheme (CARE)Cycle to work scheme and season ticket loanImmigration loanRelocation scheme for certain postsOn-Site nurseryOn-site gymEnhanced maternity, paternity and adoption payEmployee assistance programme: Staff Support ServiceDiscounted medical insuranceVisit to find out more.Our commitment to Equality, Diversity and InclusionAs London’s Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world’s talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong.We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL’s workforce.These include people from Black, Asian and ethnic minority backgrounds; disabled people; and for our Grade 9 and 10 roles, women.