Your Scientific and Social Impact
This role places you at a unique intersection of theoretical innovation and transformative application. You'll tackle complex modelling challenges that require both academic rigor and practical ingenuity. Your research won't just advance the field of machine learningβit will directly influence strategic decisions, optimize product performance, and shape the future direction of M-KOPA's offerings.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.
- You'll prototype, test, and iterate advanced models, integrating state-of-the-art academic insights into practical solutions.
- 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.
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.
