TTT - Data Science - Staff- E

• Apply machine learning techniques to deliver actionable insights
• End to end coding using Python, R
• Responsible for model development - manipulation including data exploration, training data, feature extraction and model development, validation and scoring on structured and unstructured data and to highlight patterns, anomalies, relationships and trends
• Build systems that mine massive datasets and structure/ engineer it to be usable for machine learning models and to apply AI/Machine Learning technology to solve real-world problems
• Apply standard statistical methods, simulation models and statistical programming as needed

Skills and attributes for success

• An overall 2 + years of hands-on work experience with Machine Learning and Artificial Intelligence techniques and tools such as neural networks, deep learning, MS Azure Cognitive Service, regression, decision tree, random forest, classification and clustering, natural language processing (NLP).
• Expertise in programming languages such as Python
• Strong - programming skills, algorithm development and database management systems
• ML projects experience

To qualify for the role, you must have

Masters degree in Statistics/Mathematics from a reputed college OR Bachelors / Masters degree in Science/ Engineering / MCA.

In AI/ML, you will be involved in development, testing and deployment of AI/ML solutions.

Good to have

• Exposure to cloud (Azure, AWS) would be good to have.
• Strong verbal and written communication skills.

What we look for

A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment

An opportunity to be a part of market-leading, multi-disciplinary team of 1400 + professionals, in the only integrated global transaction business worldwide.

Opportunities to work with EY TAS practices globally with leading businesses across a range of industries