About The Behaviouralist
The Behaviouralist is a London-based research and consulting firm. Our team––comprised of behavioural scientists, economists, data analysts and designers––works on behaviour change projects across the public and private sectors. We’ve worked with governments, large tech firms, airline companies, utilities and others to improve outcomes ranging from tax compliance and fuel efficiency to technology adoption and employee productivity.
About the role
The Behaviouralist is looking for an enthusiastic student or graduate with a background in economics, data science, or statistics to join its team of researchers. The Research Assistant Intern will work on research projects across a range of sectors from energy conservation to productivity and active transport.
Projects will be varied in scope and will help you develop a range of skills. The tasks that you will be involved in include, but are not limited to:
- Designing interventions and trials – help apply concepts from behavioural economics to redesign communications and services and help set up field trials to measure their impact (this involves conducting power and sample size calculations, developing data collection and recruitment plans, etc).
- Analysis and research – conduct desk research, statistical analyses of the results from field trials, and explorative analyses of large data sets.
- Written and oral communication – draft and edit internal and client facing proposals, reports and presentations, you will also have the opportunity to write blog posts and policy memos about topics you find most interesting.
- Marketing and business development – support the creation of marketing materials and communications with prospective clients.
About you
We are looking for candidates with different skill sets with backgrounds in either economics, data science, statistics, cognitive psychology, or public policy (or a related field).
Some of the qualifications we are looking for include:
- Familiarity with behavioural economics and randomised controlled trials.
- Experience with data analysis and statistical programs (R or Stata are preferred).
- Ability to write clearly and concisely.
- Ability to work independently as well as with colleagues and clients from different backgrounds.
