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Urgent! Data Scientist – Commercial Insights at M-KOPA Solar Job Opening In Kenya, Kenya – Now Hiring Confidential

Data Scientist – Commercial Insights at M KOPA Solar



Job description

Job Description

M-KOPA’s mission is to make high quality energy affordable to everyone.

OUR GROWTH SO FAR… M-KOPA has connected more than , homes in Kenya,Tanzania and Uganda to solar power with over new homes being added every day.


Data Scientist – Commercial Insights

  • We are looking for a Data Scientist – Commercial Insights to join our Data Science Team as we scale up and drive digital and financial inclusion across our markets.
  • Your Day-to-Day Research

  • Each day will bring intellectually stimulating challenges that stretch your scientific capabilities:

  • You’ll conduct applied machine learning research and develop innovative algorithms to solve complex, real-world problems.

    From credit risk assessment to customer behaviour modelling, your work will tackle sophisticated challenges with substantial business and social implications.

  • You’ll prototype, test, and iterate advanced models, integrating state-of-the-art academic insights into practical solutions.

    This process will allow you to bridge the gap between theoretical possibilities and implementable algorithms.

  • As a key member of our central Data Science team, you’ll actively engage with academic institutions to accelerate innovation and maintain M-KOPA’s competitive advantage.

    These collaborations will keep your research at the cutting edge while fostering relationships with the broader scientific community.

  • Throughout your work, you’ll balance theoretical exploration with practical application, ensuring your research delivers both scientific advancement and tangible business impact.
  • Must-Have Qualifications:

  • Advanced expertise in machine learning, mathematics, statistics, and theoretical computer science.

  • Experience or academic publication in generative modelling (e.g., VAEs, GANs, diffusion models, or related methods)

  • Strong publication record in prestigious conferences (NeurIPS, ICML, ICLR)

  • Proven ability to translate academic research into practical, impactful algorithms

  • Experience with deep learning, reinforcement learning, or other specialized machine learning domains

  • Exceptional analytical, critical thinking, and problem-solving abilities

  • Required Skill Profession

    Other General



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