lendable - Data Scientist

• Strong proficiency with data manipulation including packages like NumPy, Pandas. • Knowledge of machine learning techniques and their respective pros and cons. • Confident communicator and contributes effectively within a team environment. • Self driven and willing to lead on projects / new initiatives. • Prior experience of credit risk for consumer lending or credit cards, especially for the US market. • Interest in machine learning engineering. • Strong SQL and interest in data engineering. • The interview process • Initial call with TA • Take home task • Task debrief and case study interview • Final interviews with leadership team • LIFE AT LENDABLE