Data Scientist - Gen AI

Qualifications

• Proven commercial experience as a Data Scientist or Machine Learning Engineer, with a strong focus on Generative AI.
• In-depth understanding of deep learning frameworks, particularly transformers, GANs, and VAEs.
• Hands-on proficiency with Python and essential data science libraries such as Pandas, NumPy, and Scikit-learn.
• Strong practical experience with machine learning frameworks like PyTorch, TensorFlow, and Hugging Face.
• Demonstrable experience in developing and fine-tuning Large Language Models (LLMs).
• Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and their associated machine learning services.
• A Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Statistics, or a related quantitative field. A PhD is advantageous.
• Excellent analytical and problem-solving skills with a creative and innovative mindset.
• Strong verbal and written communication skills, with the ability to explain complex technical concepts to diverse audiences.
• What We Offer
• The opportunity to work on pioneering AI projects with globally recognised, market-leading clients.
• A supportive and collaborative work culture that fosters continuous learning and professional development.
• The chance to be part of an organisation consistently recognised by industry analysts like Gartner and Forrester for its exceptional AI and Analytics capabilities.