Why This Role Will Transform Your Career

This position offers exceptional opportunities for both professional advancement and meaningful contribution:

• The perfect balance of scientific exploration and real-world application allows you to pursue intellectual curiosity while creating tangible impact. You’ll enjoy the freedom to explore novel methods and push theoretical boundaries, knowing your work directly improves lives.
• The international and cross-functional nature of your collaboration will expand your perspective beyond traditional machine learning applications. You’ll work with diverse teams that bring unique insights to your research challenges, accelerating both innovation and implementation.
• Your thought leadership will extend beyond M-KOPA, with opportunities to publish influential research papers, attend leading conferences, and collaborate with prestigious academic institutions. Your work will help establish M-KOPA as an innovator in applying sophisticated machine learning to drive financial inclusion.
• You’ll join a mission-driven organization deeply committed to sustainability and social impact. M-KOPA is proudly carbon-negative, having already displaced over 2 million tonnes of carbon emissions through our products and services.
• The combination of cutting-edge scientific challenges and humanitarian purpose creates a uniquely rewarding professional experience. You’ll apply sophisticated machine learning techniques to solve problems that meaningfully change lives.

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