Responsibilities

📍Work across all aspects of data from engineering to building sophisticated visualisations, machine learning models and experiments 📍Analyze and interpret large (PB-scale) volumes of transactional, operational and customer data using proprietary and open source data tools, platforms and analytical tool kits 📍Translate complex findings into simple visualisations and recommendations for execution by operational teams and executives 📍Be part of a fast-paced industry and organisation where time to market is critical

Requirements

📍Undergraduate in a quantitative discipline, such as Mathematics/Statistics, Actuarial Sciences, Computer Science, Engineering, or Life Sciences 📍Relevant work experience in an Analytics or Data Science role will be a plus 📍Experience with common analysis tools such as SQL, R, and Python 📍Experience with at least one data visualization tool (Tableau, Qlik, PowerBI, etc.) 📍A self-driven team player with the ability to quickly learn and apply new tools and techniques such as proprietary analytical software, data models and programming languages 📍A natural curiosity to identify, investigate and explain trends and patterns in data and an ability to analyse and break down complex concepts and technical findings into clear and simple language 📍A passion for Emerging Technologies related to Blockchain, Machine Learning and AI