This role demands the best and brightest; the ideal candidate will be self- motivated, accountable, technically strong and will be challenged to find creative solutions to technical problems.Besides having the key qualifications listed above, the successful candidate is expected to:• Develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms.• Be comfortable with leveraging large data sets to tackle complex NLP and machine learning problems.• Apply knowledge of experimental methodologies, statistics, optimisation, probability theory and machine learning using code for tool building, statistical analysis and modelling using both general purpose software languages and statistical languages.• Use machine language and statistical modelling techniques such as decision trees, logistic regression, Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy.• Work with large scale computing frameworks, data analysis systems and modelling environments.• Actively collaborate with business partners and engineering teams to improve model accuracy through market-specific insights and understanding language nuances.