About the role
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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
Manage stakeholders and mentor team members in Machine Learning, AI, and best practices
Design and implement Generative AI–enabled solutions such as AI agents, APIs, and intelligent interfaces, integrating with enterprise GenAI platforms (Azure OpenAI / Azure AI Foundry)
Hands-on experience in LLM fine‑tuning and optimization, including parameter‑efficient tuning techniques and systematic evaluation of model quality, latency, and cost in production environments
Strong expertise in production‑grade prompt and GenAI system design, including prompt templating, chaining, RAG pipelines, guardrails, and reliability patterns for scalable enterprise deployments
Skills and attributes for success
An overall experience of 5 + years of which 3+ years of hands-on work experience in Machine Learning and Artificial Intelligence
Strong hands-on experience with ML/AI techniques including regression, decision trees, random forests, classification, clustering, NLP/NLG, deep learning, neural networks, and ARIMA
Proven experience delivering end-to-end ML projects from development to production
Expert proficiency in Python, with strong programming, algorithmic, and database skills
Strong understanding of Generative AI and LLM technologies, including prompt engineering and enterprise LLM integration
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.
Hands-on involvement across the design, development, testing, and deployment of AI/ML solutions
Tax application experience
Ideally, you’ll also 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 is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.