• A data science or equivalent quantitative academic background
• Good knowledge of and capability in at least one of: applying foundational NLP methods (topic modelling, NER, sentiment analysis, PoS tagging, contextual embeddings, transformer-based models), working with big data, or designing and running surveys
• Good coding skills: well-versed in R or Python (knowledge of cloud service, such as AWS and git version control is a plus)
• Strong knowledge of statistical modelling such as regressions; knowledge of machine learning is a bonus
• Exceptional analytical skills. A clear thinker you will be able to contribute meaningfully to projects that end up delivering great results to our blue-chip client base
• Strong problem solving skills and attention to detail: you care about the quality of your work
• Eager to learn new methods, take on unfamiliar tasks and comfortable taking feedback constructively
• Strong time management skills to deliver results in tight deadlines
• A clear communicator, orally and on paper
• Comfortable with presentation software like Google Slides, and data visualisation methods – we aim to do high-quality, rigorous work and then present this in ways that make insights compelling