Data Scientist

Company Details

ENGIE Energy Access is a leading Pay-As-You-Go (PAYGo) and mini-grids solutions provider in Africa, with a mission to deliver affordable, reliable and sustainable energy solutions and life-changing services with exceptional customer experience. Also, a part of Fenix International, a next-generation energy company. We are employing to fill the job post below:

Employment Title: Data Scientist

Area: Lagos
Department: Central Digital and IT – Data
Reporting line: Head of Data

Job Purpose / Mission

  • We are looking for a talented, full-stack data scientist to join the digital team to help deliver affordable solar power to emerging markets. This position offers a great opportunity to work alongside an elite team of data scientists and business professionals and directly contribute to the success of a mission-driven company with social and environmental impact. Candidates will get the opportunity to work in a diverse technology stack at scale.


  • Deploy and maintain data pipelines and machine learning models to predict repayment, solar system device performance, credit scoring and other metrics which are key to the business.
  • Contribute to the design and maintenance of an analytics database to empower data-driven decisions by analysts and strategists across the organization.
  • Design Randomized, controlled experiments to understand levers available to improve customer repayment.
  • Perform analyses, with statistical components as appropriate, for department leaders to evaluate the impact of pilots and other interventions.
  • Leverage external data sources to help EEA grow its business and maximize social impact on customers in emerging markets.
  • Train team members on data tools/skills to grow data capacity and culture at EEA.


  • MA or PhD in a relevant discipline (Data Science, Software Engineering, Statistics, or another relevant STEM field)

Knowledge and Skills


  • 3+ years of relevant experience
  • Strong Python, especially in a data analytics/science capacity (ex. pandas, NumPy, sklearn, matplotlib)
  • Facility with MySQL/Redshift
  • Experience with experimental design, statistical analysis, and interpretation of qualitative and quantitative data.
  • Good knowledge of statistical tests and analysis
  • Ability to communicate model outputs and analyses to stakeholders at various levels of technical expertise
  • Experience deploying predictive models at scale
  • A keen eye for detail and thoughtful investigation of data before relying upon it
  • Demonstrated expertise in strategic analysis to impact decisions
  • Thrives on teamwork
  • Bonus: Experience with financial data or credit scoring


  • English
  • French or Portuguese is a plus


  • Python or R, jupyter notebooks
  • Airflow (or other workflow management systems, such as Luigi)
  • Knowledge of Amazon Web Services (AWS) and its services, such as, but not limited to, Cloudwatch, RDS, Redshift, Lambda, EMR, S3, SQS, EC2
  • AWS environment: Cloudwatch, RDS, Redshift, Lambda, EMR, SQS, EC2
  • Statistical analysis and predictive modelling in python (scipy, stats, sklearn, etc)
Application Closing Date

Not Specified.

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