Energy, utilities, environment Jobs in Lagos, Nigeria

3

jobs

M-Kopa Nigeria

Head Of Data Science

Lagos, Nigeria

M-Kopa Nigeria

Senior Analytics Engineer

Lagos, Nigeria

M-Kopa Nigeria

Credit Analyst

Lagos, Nigeria

Lumos Nigeria

CLOSED

Software Developer / Engineer

Lagos, Nigeria

Sahara Group Limited

CLOSED

Data Engineer

Lagos, Nigeria

JMG Limited

CLOSED

Budget Control Officer

Lagos, Nigeria

JMG Limited

CLOSED

Senior Account Officer

Lagos, Nigeria

M-Kopa Nigeria

CLOSED

Head Of Data Science

Lagos, Nigeria

Sahara Group Limited

CLOSED

Quality Assurance Engineer

Lagos, Nigeria

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M-Kopa Nigeria

CLOSED

Senior Backend Engineer

Lagos, Nigeria

Head Of Data Science

Closing: May 26, 2024

10 days remaining

Published: May 13, 2024 (4 days ago)

Job Requirements

Education:

Work experience:

Language skills:

Job Summary

Contract Type:

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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
Responsibilities


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


  • 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.

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