Strong foundation in machine learning, with hands-on experience in model development and experimentation.

● Strong programming proficiency in Python and extensive experience with ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn).

● Ability to analyze model behavior, diagnose training issues, and design experiments to optimise performance and reliability

● Demonstrated ability to read, synthesise, and critically evaluate academic research papers and technical literature

● Experience designing and conducting rigorous experiments to validate hypotheses and measure solution effectiveness

● Comfort working with ambiguous problems and developing novel approaches to complex challenges

● Experience with privacy-enhancing technologies, including but not limited to anonymisation, synthetic data generation or differential privacy.

● Familiarity with frontend integration workflows (Next.js/React).

● Prior experience working in multi-disciplinary teams.

Data Scientist