Data Scientist – Commercial Insights

Summary

Join M-KOPA's Data Science Team as a Data Scientist – Commercial Insights and develop sophisticated models to drive financial inclusion across African markets. Work remotely, collaborating with a global team to solve complex business challenges and improve the lives of millions. This role blends theoretical innovation with real-world application, allowing you to create tangible impact while advancing machine learning. You will conduct applied machine learning research, prototype and test advanced models, and collaborate with academic institutions. Your work will directly influence strategic decisions and shape M-KOPA's future offerings. This position offers opportunities for professional advancement and meaningful contribution within a mission-driven organization.

Requirements

• 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

Responsibilities

• Conduct applied machine learning research and develop innovative algorithms to solve complex, real-world problems
• Prototype, test, and iterate advanced models, integrating state-of-the-art academic insights into practical solutions
• Actively engage with academic institutions to accelerate innovation and maintain M-KOPA's competitive advantage
• Balance theoretical exploration with practical application, ensuring your research delivers both scientific advancement and tangible business impact

Benefits

• Remote work, flexible hours
• Professional development opportunities
• Family-friendly policies
• Prioritize well-being
• Embrace flexibility