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Deloitte is seeking a Lead Data Scientist to join our Government & Public Services (GPS) team, specifically within the GPS GSi group. This role is pivotal in developing and maintaining our data science and business intelligence solutions, focusing on machine learning, deep learning, and generative AI initiatives. As a Lead Data Scientist, you will work closely with a small team in a fast-paced environment, leveraging your expertise to enhance decision-making processes for our clients. You will be responsible for transforming client needs into quantifiable data science solutions, demonstrating your ability to work independently while applying critical thinking and problem-solving skills to resolve complex issues. In this position, you will design, train, and deploy machine learning and deep learning models on platforms such as AWS, Databricks, and Dataiku. You will also develop and advise on Large Language Model (LLM) solutions for enterprise-wide documentation, utilizing advanced techniques like Retrieval-Augmented Generation (RAG) and Continued Pre-training (CPT). Your role will involve utilizing Machine Learning Operations (MLOps) pipelines, including containerization with Docker and CI/CD practices for model training and deployment. You will maintain structured documentation of project development stages, utilizing tools like GitHub and Jira for version control and project management. As a Lead Data Scientist, you will be expected to stay current with industry trends and developments in data science, continuously learning new skills to advance the capabilities of our Data Science team. Your strong communication skills will be essential in breaking down complex analytical solutions for clients, ensuring clarity and understanding. Attention to detail is crucial, as you will be responsible for reviewing data science solutions for accuracy and quality. This role requires a proactive approach to managing multiple tasks and responsibilities, ensuring that deadlines and objectives are met while satisfying both internal and external customer needs.