Senior Data Scientist - Tax, Technology and Transformation

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Tax departments face unprecedented challenges, including compliance pressures, resource constraints, and increased scrutiny from digital tax authorities. As these demands grow, tax functions require urgent transformation. At EY's Tax Technology and Transformation Consulting team (EY TTT Consulting), we assist clients in navigating these complexities by integrating advanced technology with expertise in tax, finance, and consulting. Our innovative practice and market-leading platforms position us for significant growth in this evolving landscape. We are expanding our team and seeking ambitious individuals who can bring fresh perspectives and innovative solutions to future tax challenges.

The Opportunity: Join EY's Transformation capability within the Tax Technology and Transformation Consulting team. This role offers a unique opportunity for a skilled Senior Data Scientist/AI Engineer to leverage Generative AI to enhance tax compliance and strategy. The ideal candidate will have a strong analytical mindset and extensive experience in developing generative AI solutions. You will work with clients to understand their challenges and identify how Generative AI (or AI broadly) can transform their tax operations, ensuring alignment with their business strategy and delivering measurable ROI. Embrace the future of tax technology with us!

Key Responsibilities:

• Design, develop, and implement generative AI solutions to solve complex business problems.
• Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
• Build and maintain production-grade Python applications for machine learning and AI.
• Apply statistical analysis and machine learning techniques to derive insights from large datasets.
• Develop natural language processing (NLP) models to enhance user experience and automate processes.
• Utilize Azure DevOps for project management and CI/CD practices.
• Manage version control using Git and collaborate with team members on code development.

To Qualify for the Role, You Must Have:

• Strong commercial development experience in developing and deploying LLM-based applications.
• A solid understanding of AI/ML algorithms, data science, and machine learning.
• Demonstrated proficiency in rapid prototyping of Data Science and Machine Learning problems on large datasets.
• Building agentic workflows and autonomous agents using frameworks like Langchain, Semantic Kernel, AutoGen, and LangGraph.
• Developing and optimizing generative AI models, focusing on prompt engineering and LLMs.
• Writing production-grade Python applications.
• Managing version control with Git and using Docker for containerization.
• Knowledge of Databricks.
• Effective communication within cross-functional teams and storytelling.
• Experience in Agile development environments and familiarity with Agile ceremonies.
• Excellent communication skills.
• Ability to thrive in fast-paced environments with a thoughtful approach to AI fairness, accountability, and transparency.

What you might also have:

• Working knowledge of Azure.
• Experience in Snowflake.
• Knowledge of Power Platform and Copilot Studio.

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