Data Scientist - Portfolio at M-KOPA Solar

About Us

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

This is a fully remote role, within the following time zone (UTC -1 / UTC+3). Our engineers work remotely from locations such as UK, Europe and Africa. You will be reporting to the group Engineering Manager.

Expertise in the following would really highlight your suitability

• Python
• Proficient in popular machine learning frameworks for time series data, including:
  • Scikit-learn
  • Tree-based models
  • Regression models
  • Plotly
  • dbt / databricks
  • Looker
• Experienced with Continuous Integration/Continuous Deployment (CI/CD) frameworks.
• Experienced in monitoring models in production environments.
• Experienced with cloud services (AWS, GCP, Azure).
• Well-versed in MLOps best practices.
• Experience in developing forecasting models, especially for risk and fraud detection.
• Strong problem framing and problem-solving skills.

Hiring Process

• Introduction (meet the Recruiter)
• Meet the Hiring Manager
• Technical take home evaluation exercise and interview
• Stakeholder interview
• Final interview