Data Scientist

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TAX TECHNOLOGY TRANSFORMATION – Data Science -Senior

EY GDS’s Tax Innovation, Solutions and Technology (IST) group as well as the Tax Tech Transformation (TTT) team’s mission is to develop, implement and integrate technology solutions that better serve our clients and engagement teams. As a member of EY’s core Tax practice, you’ll develop a deep tax technical knowledge and outstanding database, data analytics and programming skills.  

Ever-increasing regulations require tax departments to gather, organize and analyse more data than ever before. Often the data necessary to satisfy these ever-increasing and complex regulations must be collected from a variety of systems and departments throughout an organization. Effectively and efficiently handling the variety and volume of data is often extremely challenging and time consuming for a company.  

The opportunity

EY's GDS IST and TTT team members work side-by-side with the firm's partners, clients and tax technical subject matter experts to develop and incorporate technology solutions that enhance value-add, improve efficiencies and enable our clients with disruptive and market leading tools supporting Tax.  

GDS IST and TTT team works closely with clients and professionals in the following areas: Federal Business Tax Services, Partnership Compliance, Corporate Compliance, Indirect Tax Services, Human Capital, and Internal Tax Services. GDS Tax Technology provides solution architecture, application development, testing and maintenance support to the global TAX service line both on a pro-active basis and in response to specific requests.  

EY is currently seeking Senior to join our Tax Technology practice. 

Your key responsibilities

• Apply machine learning techniques to deliver actionable insights
• Own end-to-end model development in Python, including data exploration, feature engineering, training, validation, and scoring on structured and unstructured data
• Design and 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
• Collaborate closely with business users and analysts to translate requirements into AI/ML solutions and present outcomes clearly