Join EY as a Specialist III, Data Scientist, and contribute to building a better working world. EY is a global leader in assurance, tax, transaction, and advisory services, with technology at the core of our operations. Our Client Technology team drives innovation by leveraging emerging technologies like AI and Data Analytics to solve complex business challenges for clients. This role offers significant growth opportunities, exciting learning experiences, and the chance to make a real impact.

Lead in-depth diagnostic, predictive, and prescriptive analytics to support data-driven decision-making. Mentor junior data scientists and analysts, applying advanced data science and big data mining techniques to uncover trends and drive innovation. Responsibilities include developing complex queries, preparing data for statistical modeling, identifying data inconsistencies, and collaborating with stakeholders to translate business requirements into analytical approaches. You will guide test and model validation, provide statistical consultation, and serve as the analytics expert on cross-functional teams. Prepare and deliver insightful presentations with actionable recommendations, and design scalable data mining models for large datasets.

A minimum of 8 years of experience in data science, predictive analytics, or advanced statistical modeling is required. A Bachelor’s degree (B.E./B.Tech) in Analytics, Applied Mathematics, Economics, Statistics, or Computer Science, or a Master’s degree/Diploma in a related quantitative field is necessary. Essential technical skills include expertise in Python, R, or SQL; hands-on experience with machine learning libraries such as Scikit-learn and TensorFlow; a strong understanding of data pipelines, data wrangling, and statistical techniques; experience in big data environments like Spark/Hadoop; and familiarity with visualization tools like Tableau or Power BI. Strong analytical, communication, and interpersonal skills are crucial. Continuous learning about new technologies and a proactive approach are highly valued.