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• Statistical Programming Languages: Python, R
• Libraries & Frameworks: Pandas, NumPy, Scikit-learn, StatsModels, Tidyverse, caret
• Data Manipulation Tools: SQL, Excel
• Data Visualization Tools: Matplotlib, Seaborn, ggplot2,
• Machine Learning Techniques: Supervised and unsupervised learning, model evaluation (cross-validation, ROC curves)
• 5-7 years of experience in building statistical forecast models for pharma industry
• Deep understanding of patient flows,treatment journey across both Onc and Non Onc Tas.
What we look for
• A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment
At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are.
You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer:
• Support, coaching and feedback from some of the most engaging colleagues around
• Opportunities to develop new skills and progress your career
• The freedom and flexibility to handle your role in a way that’s right for you
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.
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