Analytics and Modeling Analyst

As an Analytics and Modeling Analyst at Accenture, you will be part of our growing Insights and Analytics team. You will be responsible for developing and implementing machine learning models using supervised and unsupervised techniques. Your role will involve applying appropriate machine learning algorithms for prediction tasks and data segmentation based on project requirements. Additionally, you will perform data preprocessing, feature engineering, and model evaluation to ensure the accuracy and efficiency of the models. The ideal candidate for this position should have a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field, along with 2 to 3 years of experience in applied machine learning and data science projects. You should have a solid understanding of model training, validation, and deployment workflows, as well as experience working with version control and collaborative development environments. Familiarity with tools that automate and manage the process of building, testing, and deploying machine learning models, as well as a basic understanding of cloud-based architecture and APIs, would be beneficial. In this role, you will collaborate with data engineers, analysts, and product teams to translate business problems into machine learning solutions. You will use Python libraries such as scikit-learn, TensorFlow, and others to build and test models, and analyze and manipulate structured datasets using notebooks like Jupyter. Your responsibilities will also include documenting model performance, data flows, and process pipelines to ensure transparency and reproducibility of the work. If you are a Machine Learning Data Scientist with a passion for building ML models using cutting-edge techniques and technologies, we invite you to join our team at Accenture and contribute to creating value and shared success for our clients, people, and communities.,