Primary responsibilities include leading customer projects in data strategy, data architecture, data analysis, process automation, data governance, data science, and AI. You will analyze and document requirements, design and build data and AI pipelines, create scalable solutions that unify and derive insights from varied data sources, and help clients navigate complex data science and analytics challenges.
Required experience includes a Bachelor's or Master's degree in computer science, engineering, mathematics, or a related field, with up to 6 years of full-time experience in Data, AI, or Machine Learning. Essential technical skills include proficiency in Python, R, SQL, Machine Learning workflows, experience with ML packages like scikit-learn and TensorFlow, understanding of data architecture patterns, ETL processes, and data integration techniques.
EY offers an attractive compensation package including 13th salary, yearly bonus, provident fund, private medical and life insurance, flexible working arrangements, professional development opportunities like EY Tech MBA, mobility programs, wellbeing days, and an employee assistance program. The role provides an opportunity to work in a dynamic, interdisciplinary team tackling challenging problems for clients in the data and AI domain.
