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  • Posted: May 23, 2025
    Deadline: Not specified
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  • M-KOPA’s mission is to make high quality energy affordable to everyone. OUR GROWTH SO FAR... M-KOPA has connected more than 400,000 homes in Kenya,Tanzania and Uganda to solar power with over 550 new homes being added every day.
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    Research Scientist – Generative & Applied Machine Learning

    • We are looking for a Research Scientist – Generative & Applied Machine Learning to join our Data Science Team as we scale up and drive digital and financial inclusion across our markets.

    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

    go to method of application »

    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

    Method of Application

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