LSE is committed to building a diverse, equitable and truly inclusive university

Department of Psychological and Behavioural Science

Research Fellow in Data Science

Salary from £46,792 to £54,094 pa inclusive with potential to progress to £60,244 pa inclusive of London allowance

This is a fixed term appointment to 31 March 2025

The successful candidate will join a team comprising researchers from LSE, UCL, IFS and Sheffield on a £2 million ESRC-funded Diversity and Productivity research project. They will contribute to the research objectives of the project with a focus on research that involves big data in collaboration with Citi investment bank.

The postholder will be expected to contribute to linking diversity and inclusion to measures of productivity using multiple data sets and machine learning approaches. In addition, they will lead, alongside Dr Grace Lordan and Dr Dario Krpan, a large experiment with professional workers to link diversity, inclusion and productivity. The postholder will have an opportunity to lead, contribute to and publish academic papers. They will continually update their knowledge and understanding and translate knowledge of advances in the field into research activity.

The successful candidate will have a track record of successful project delivery through independent original research, the ability to conduct high-quality research and have strong programming skills in scripting languages (e.g. Python, R). They will be able to conduct high-quality research and publish in journals of international standing, as well as conducting literature reviews and summarising research findings.

The postholder will have a PhD (awarded, or near completion) in computer science, data science, economics, financial engineering, statistics or a related quantitative subject where working with large data sets to achieve causal inference formed a key part OR a MSc in one of these disciplines with evidence of publications in top international journals. They will be a strong team player with excellent communication skills, able to work independently and meet deadlines.

We offer an occupational pension scheme, generous annual leave and excellent training and development opportunities.

For further information about the post, please see the how to apply document, job description and the person specification.

To apply for this post, please go to https://jobs.lse.ac.uk. If you have any technical queries with applying on the online system, please use the “contact us” links at the bottom of the LSE Jobs page. Should you have any queries about the role, please email TII@lse.ac.uk