Head of Data Science

at  mkopa

AS THE HEAD OF DATA SCIENCE AT M-KOPA YOU WILL BE, MANAGING A DISTRIBUTED DATA SCIENCE TEAM IN A GROWING FINTECH ENVIRONMENT.

Training team members throughout the organization to improve data fluency, and collaborating with the business to allow data-driven decision-making on critical business questions.

THIS IS AN OPPORTUNITY TO WORK IN A COMPANY WHERE PROGRESS, AND HUMILITY ARE VALUED AS HIGHLY AS TECHNICAL EXCELLENCE? AT M-KOPA WE USE THE LATEST TECHNOLOGIES AND TOOLS TO BUILD FANTASTIC CUSTOMER EXPERIENCES WITH A SOCIALLY AND ENVIRONMENTALLY CONSCIOUS MISSION THAT ECHOES THROUGHOUT THE ORGANISATION.

Following a hiatus hiring for this role and some internal moves and restructuring we are now back recruiting for this role. This is a Senior role reporting directly to the CTO. You’ll be leading a team of Data Scientists that focus on;

OTHER SKILLS AND EXPERIENCE;

Building models to predict loan repayment or similar financial flows for an active financial portfolio
Consumer Credit/Lending experience
Experience and a high capacity for managing multiple problems and assignments at the same time and delivering high-quality outputs
Proficiency in data mining and data modelling techniques.
ML Ops experience in an Agile environment
Knowledge of machine learning algorithms and their applications in data analysis.
Experience of ML models in Production supporting finance/credit Preferred skills include R, Python, DAX, and PowerBI or similar data visualisation tools (eg. Tableau) Additional skills
Team Management skills, managing a team of full stack Data Scientists that are integrated into consumer Product teams.
A balance of strategic direction, model design, business impact & insights and reviews.
Debt receivables

Please refer the Job description for details