At least 5 years of experience managing multiple data science teams, including managing managers At least 8-10 years of experience leading technical data science initiatives, including data modelling/architecture, experimentation, reporting & analytics, and predictive / prescriptive modelling Demonstrated experience of driving business outcomes with data (revenue growth, client acquisition/conversion, retention) Strong business acumen and experience in client acquisition, growth and loyalty Excellent SQL and Python skills and ability to work with popular data science frameworks, including numpy, pandas, scikit-learn, statsmodels, matplotlib, seaborn