Support the Senior Data Scientist and team members in solving problems, analyzing data and finding solutions.
Support in design, development, and deployment of advanced statistics, data science and Artificial Intelligence (AI/ML) solutions to solves 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.
Preferred requirements:
Bachelor’s degree from an accredited institution in Statistics, Applied Mathematics, Statistics, Data Science, Physics, Computer Science, Economics or related quantitative fields (Master’s degree preferred)
For a Master's or a PhD , it is expected to have a minimum of 1 years of AI/Machine Learning/ Advanced Statistics/Data Science experience in technology companies, Life Sciences, Pharma, Biotech, or relevant regulated industries (banking, insurance etc.). Minimum 3 years of production level experience after bachelor's degree.
Understanding of applied statistical modelling, math 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.
Analytical Problem-Solving: 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.
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.