Ernst & Young Advisory Services Sdn Bhd
Staff - Tax Technology & Transformation - Advanced Technologies - Data Scientist
Ernst & Young Advisory Services Sdn Bhd, New York, New York, us, 10261
Location: New York
Requisition ID: 1570338
At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. Join us and build an exceptional experience for yourself, and a better working world for all.
Location:
New York
US – Tax - National Tax – Data Scientist - Tax Technology and Transformation – Advanced Technologies – Staff Tax Technology and Transformation offers services to companies in response to the impact of existing and emerging technology. The underlying objective of the combined offerings is to help businesses navigate the digital age of tax transparency alongside new trends in tax compliance and tax audit methods. The opportunity Tax Technology and Transformation is an area that has seen significant growth and investment. You will be working on highly publicized projects in a constantly changing field. Key responsibilities Selecting features and building and optimizing classifiers using machine learning techniques Large Language Models (LLM) prompting and deployment techniques Integration of AI components into full-scale solutions to support business processes Enhancing data collection procedures to include information that is relevant for building analytic systems Processing, cleansing and verifying the integrity of data used for analysis Doing ad-hoc analysis and presenting results in a clear manner Depending on your unique skills and ambitions, you could be supporting various client projects, contributing to developing a highly trained team while maintaining our reputation as trusted advisors. Skills and attributes for success Strong understanding of machine learning techniques and algorithms Strong command and up-to-date knowledge of the latest developments in Artificial Intelligence Hands-on experience with Natural Language Processing (NLP) techniques Strong working knowledge and at least 1-2 years of experience with Python Experience with data visualization tools Experience with SQL and NoSQL database technologies Strong scripting and programming skills Ownership of assigned tasks and monitoring until completion Ability to identify ways to automate manual tasks Focus on improving reporting capabilities Willingness to support project team members To qualify for the role, you must have A bachelor's degree in a related field and a minimum of one year of related work experience A passionate interest in data science Excellent communication and business writing skills Strong organizational and time management skills Demonstrated ability to capture and synthesize business requirements Desire and demonstrated ability to provide leadership within a team Willingness to travel as needed Ideally, you'll also have Experience with Apache Spark Experience working in the Microsoft Azure Cloud environment Experience developing ETL solutions ERP experience Practical experience or strong theoretical understanding of neural networks What we look for We are looking for knowledgeable data science professionals with a passion for turning data into actionable insight. What we offer We offer a comprehensive compensation and benefits package. The base salary range for this job in all geographic locations in the US is $88,300 to $145,500. Individual salaries are determined through various factors. Our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team-led and leader-enabled hybrid model. Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. EY accepts applications for this position on an ongoing basis. If you can demonstrate that you meet the criteria above, please contact us as soon as possible. EY exists to build a better working world, helping to create long-term value for clients, people and society. For those living in California, please click here for additional information. EY is an equal opportunity, affirmative action employer providing equal employment opportunities to applicants and employees without regard to any legally protected basis.
#J-18808-Ljbffr
New York
US – Tax - National Tax – Data Scientist - Tax Technology and Transformation – Advanced Technologies – Staff Tax Technology and Transformation offers services to companies in response to the impact of existing and emerging technology. The underlying objective of the combined offerings is to help businesses navigate the digital age of tax transparency alongside new trends in tax compliance and tax audit methods. The opportunity Tax Technology and Transformation is an area that has seen significant growth and investment. You will be working on highly publicized projects in a constantly changing field. Key responsibilities Selecting features and building and optimizing classifiers using machine learning techniques Large Language Models (LLM) prompting and deployment techniques Integration of AI components into full-scale solutions to support business processes Enhancing data collection procedures to include information that is relevant for building analytic systems Processing, cleansing and verifying the integrity of data used for analysis Doing ad-hoc analysis and presenting results in a clear manner Depending on your unique skills and ambitions, you could be supporting various client projects, contributing to developing a highly trained team while maintaining our reputation as trusted advisors. Skills and attributes for success Strong understanding of machine learning techniques and algorithms Strong command and up-to-date knowledge of the latest developments in Artificial Intelligence Hands-on experience with Natural Language Processing (NLP) techniques Strong working knowledge and at least 1-2 years of experience with Python Experience with data visualization tools Experience with SQL and NoSQL database technologies Strong scripting and programming skills Ownership of assigned tasks and monitoring until completion Ability to identify ways to automate manual tasks Focus on improving reporting capabilities Willingness to support project team members To qualify for the role, you must have A bachelor's degree in a related field and a minimum of one year of related work experience A passionate interest in data science Excellent communication and business writing skills Strong organizational and time management skills Demonstrated ability to capture and synthesize business requirements Desire and demonstrated ability to provide leadership within a team Willingness to travel as needed Ideally, you'll also have Experience with Apache Spark Experience working in the Microsoft Azure Cloud environment Experience developing ETL solutions ERP experience Practical experience or strong theoretical understanding of neural networks What we look for We are looking for knowledgeable data science professionals with a passion for turning data into actionable insight. What we offer We offer a comprehensive compensation and benefits package. The base salary range for this job in all geographic locations in the US is $88,300 to $145,500. Individual salaries are determined through various factors. Our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team-led and leader-enabled hybrid model. Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. EY accepts applications for this position on an ongoing basis. If you can demonstrate that you meet the criteria above, please contact us as soon as possible. EY exists to build a better working world, helping to create long-term value for clients, people and society. For those living in California, please click here for additional information. EY is an equal opportunity, affirmative action employer providing equal employment opportunities to applicants and employees without regard to any legally protected basis.
#J-18808-Ljbffr