About the Company
EY is a global professional services network operating in more than 150 countries. The firm delivers management consulting, strategy, legal, tax, technology, organizational advisory, and audit services to organizations across industries.
In Italy, EY consists of over 9,000 professionals across 20 cities, working within an international ecosystem built on collaboration, innovation, and long term value creation. The organization is committed to fostering sustainable and inclusive economic growth for clients, communities, and society at large.
EY promotes a culture where diverse experiences, ambitions, and perspectives strengthen collective success. All opportunities are open to candidates with disabilities in accordance with Italian Law 68/99.
About the Role
The Senior Consultant AI and Data Machine Learning contributes to advanced analytics and enterprise AI initiatives, supporting the design, development, and deployment of scalable Machine Learning solutions.
The position focuses on predictive modeling, deep learning, large scale data preparation, and production grade ML implementation within enterprise environments.
Key responsibilities include:
- Design, development, and optimization of advanced Machine Learning models including regression, classification, autoregressive models, deep neural networks, and complex forecasting models
- Preparation and management of large scale datasets, including data cleaning and feature engineering across structured and unstructured data
- Implementation of reliable and automated ML pipelines
- Deployment of models within enterprise environments, preferably using Azure and SAS Viya
- Implementation of CI and CD processes, model drift monitoring, periodic retraining, and explainability techniques such as SHAP and LIME
- Collaboration with technical and business stakeholders to translate operational challenges into measurable and scalable ML solutions
Requirements
- Degree in Computer Science, Mathematics, Engineering, Statistics, or related STEM disciplines
- Experience with Machine Learning and Deep Learning frameworks such as scikit learn, PyTorch, and TensorFlow
- Experience integrating models through APIs and automating end to end pipelines
- Ability to work with both technical and business stakeholders
- Strong organizational, multitasking, and time management skills
Benefits
- Continuous investment in future skills, including AI focused tools, learning events, and technology enablement from day one
- More than 50 hours of technical and managerial training per year
- Career progression opportunities, with significant internal advancement rates
- International mobility opportunities, including remote work from abroad for up to 20 days
- Hybrid working model without centrally fixed office days
- Access to global professional networks and international teams
- Corporate welfare programs and diversified benefits
- Participation in leadership development programs
- Dedicated Counselor support from the first day to encourage personal and professional growth