Data Scientist - Senior

As a Mid Data Scientist at EY, you will be part of the PDT DD&T (Data, Digital & Transformation) team, leveraging advanced analytics to deliver data-driven solutions and strategic insights that drive impactful business outcomes. Your role will involve collaborating with cross-functional teams, analyzing datasets, building predictive models, and helping shape data strategies to enhance organizational performance. You will support the Senior Data Scientist and team members in solving problems, analyzing data, and finding solutions. Additionally, you will play a key role in the design, development, and deployment of advanced statistics, data science, and Artificial Intelligence (AI/ML) solutions to solve complex business problems. - Support the Senior Data Scientist and team members in solving problems, analyzing data, and finding solutions. - Support in the design, development, and deployment of advanced statistics, data science, and AI/ML solutions to solve complex business problems. - Collaborate with cross-functional teams to integrate data-driven insights into business strategies and operations. - Ensure smooth, successful, and timely delivery of statistical/data science solutions, decision support solutions, and AI/ML products. - Bachelor's degree from an accredited institution in Statistics, Applied Mathematics, Data Science, Physics, Computer Science, Economics, or related quantitative fields (Master's degree preferred). - For a Master's or a PhD, a minimum of 1 year of AI/Machine Learning/Advanced Statistics/Data Science experience in technology companies, Life Sciences, Pharma, Biotech, or relevant regulated industries is expected (minimum 3 years of production-level experience after a bachelor's degree). - Understanding of applied statistical modeling, mathematical modeling, and ML techniques (e.g., Clustering, Classification, Regression, Dimensionality Reduction, Ensemble Methods, Natural Language Processing). - Programming & Data Engineering experience in Python, PySpark, or R for data curation, transformation, analysis, modeling, and visualization tasks. - Strong analytical and problem-solving abilities, focused on delivering actionable business solutions. - Strong presentation and communication skills, client service, and technical writing skills for both technical and business audiences.,