Join a dynamic team focused on Data & AI within the Public Services sector. This role is central to driving growth and innovation through advanced data science and artificial intelligence solutions. We are seeking an experienced Data Scientist adept at leveraging Machine Learning, Generative AI, and AWS services to transform business challenges into actionable insights and cutting-edge AI models.

Develop and optimize sophisticated machine learning and statistical models, tackling diverse areas like prediction, forecasting, anomaly detection, NLP, and Generative AI. You will be instrumental in exploring complex datasets, engineering features, and validating model performance. Responsibilities also include building and integrating scalable ML and GenAI workflows on AWS, utilizing services such as SageMaker, Bedrock, and S3, while adhering to best practices for security and scalability. Furthermore, you will develop AI assistants and knowledge-based applications using LLMs, RAG, and prompt engineering.

A Bachelor's or Master's degree in a quantitative field such as Computer Science, Data Science, Statistics, or Mathematics is required, alongside 5-7 years of hands-on experience in Data Science or AI. Proficiency in Python and essential data science libraries, coupled with practical experience in developing and deploying ML models and utilizing AWS data/AI services, is crucial. Familiarity with MLOps, model deployment, and CI/CD concepts is expected. Strong analytical, problem-solving, and communication skills are essential, especially for client-facing interactions.