Data Scientist (Advanced ML experience)

Data Scientist (Advanced Machine Learning Applications) Algo1: London Area, United Kingdom Hybrid: Minimum 3 days per week in Central London office About the Role: We are a VC-backed startup focused on behavioural AI, currently in stealth mode. We are developing innovative solutions for retail, leveraging reinforcement learning, generative AI, and advanced machine learning. We are seeking a Data Scientist with recent, hands-on experience in developing and deploying advanced machine learning models for complex datasets to work with our team of industry-leading domain experts and engineers. Key Responsibilities: Algorithm Development & Implementation: Design and implement scalable machine learning and deep learning algorithms for complex data analysis and predictive modeling. Solution Development: Translate the latest advances in machine learning into impactful solutions and products, from rapid MVPs to fully deployed, production-ready systems. Performance Optimisation: Optimise machine learning models for peak performance in modern environments. Essential Qualifications: Education: Master's degree (MSc) in Computer Science, Machine Learning, or a related field. Practical Experience: Proven experience implementing advanced machine learning solutions in a commercial setting. Machine Learning Expertise: Strong foundational knowledge of machine learning and deep learning algorithms, including deep neural networks, supervised/unsupervised learning, predictive analysis, and forecasting. Programming Skills: Expert-level proficiency in Python, with a demonstrated ability to develop and debug production-grade code. Desired Skills (Bonus Points): Deep Learning Frameworks: Advanced expertise with PyTorch and Hugging Face Transformers. Retail Analytics: Strong practical understanding of retail analytics including consumer segmentations, personalisation systems, campaign effectiveness and media measurement. What We Offer: The opportunity to be a founding member of a groundbreaking startup. A dynamic and collaborative work environment. A chance to work with cutting-edge technologies and solve challenging problems. Competitive compensation. Equity in a rapidly growing company. If you're an energetic data scientist who thrives in a fast-paced environment and wants to make a real impact on the future of retail, we encourage you to apply.