Data Scientist – Commercial Insights

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
  

• 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.