Head of Data Science at M-KOPA Nigeria

M-KOPA is a fast-growing FinTech company offering millions of underbanked customers across Africa access to life-enhancing products and services. From our roots as the pioneer in pay-as-you-go “PayGo’” solar energy for off grid homes, we have grown into one of the most advanced connected asset financing platforms in the world, empowering a broad range of customers to achieve progress in their lives.

We are recruiting to fill the position below:

Job Title: Head of Data Science

Location: Lagos
Job type: Full-time
Department: Technology, Data Science

Job Description

• 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;
• Building mission critical machine learning models for a global-scale financial technology company.

Requirements
Your experience should definitely include:

• Experience building data science models in a consumer lending company, with experience in some combination of credit scoring, repayment forecasting, and/or risk assessment.
• Experiencing line-managing data scientists

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

Application Closing Date
Not Specified.