• Develop, test, and deploy robust predictive models, clustering algorithms, and NLP techniques to power intelligent automation and client solutions. • Collaborate closely with AI Engineers to integrate models into production systems, ensuring performance monitoring and adherence to MLOps best practices. • Design and lead experiments, from initial hypothesis development to statistical validation, to inform critical product decisions. • Perform exploratory data analysis (EDA), feature engineering, and advanced statistical modeling on large, complex datasets. • Create clear visualizations and compelling narratives to communicate complex model results and business recommendations to technical and non-technical audiences. • Stay current with trends in generative AI, LLM fine-tuning, and applied machine learning in a business context. • Apply ethical and responsible data science practices when building and deploying models.