TTT - Data Science - Staff at EY

, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

26 Dec, 25

Salary

0.0

Posted On

27 Sep, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Artificial Intelligence, Python, Data Analytics, Statistical Methods, Data Exploration, Feature Extraction, Model Development, Model Validation, Natural Language Processing, Algorithm Development, Database Management, Cloud Computing, Deep Learning, Regression, Classification

Industry

Professional Services

Description

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. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. TAX TECHNOLOGY TRANSFORMATION – Data Science -Staff 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 Staff to join our Tax Technology practice. Your key responsibilities 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 Master’s degree in Statistics/Mathematics from a reputed college OR Bachelors / Master’s 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 What we offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world 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. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

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Responsibilities

The role involves applying machine learning techniques to deliver actionable insights and developing models for structured and unstructured data. Responsibilities also include building systems to mine massive datasets and applying AI/Machine Learning technology to solve real-world problems.