Senior Data Scientist - Ernst & Young

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

Tax departments are facing unprecedented challenges, from compliance pressures and resource constraints to increased scrutiny from digital tax authorities. As these demands grow, many tax functions find themselves in need of urgent transformation. At EY's Tax Technology and Transformation Consulting team (EY TTT Consulting), we specialize in helping clients navigate these complexities by integrating advanced technology with deep expertise in tax, finance, and consulting. Our innovative consulting practice and market-leading platforms position us for significant growth, making us a key player in this evolving landscape. We are rapidly expanding our team and seeking ambitious individuals who can bring fresh perspectives and innovative solutions to address the future challenges of tax functions.

This role offers a unique opportunity for a skilled Senior Data Scientist/AI Engineer to leverage Generative AI in enhancing tax compliance and strategy. The ideal candidate will have a strong analytical mindset and extensive experience in developing generative AI solutions. You will engage with clients to understand their challenges and identify how Generative AI (or AI more broadly) can transform their tax operations, ensuring alignment with their business strategy and delivering measurable ROI. Embrace the future of tax technology with us!

• 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.

• Strong commercial development experience in developing and deploying LLM-based applications.
• Strong 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, with a focus on prompt engineering and LLMs.
• Writing production-grade Python applications.
• Managing version control with Git and using Docker for containerization.
• Knowledge of Databricks.
• Communicating effectively within cross-functional teams and storytelling.
• Experience in Agile development environment and familiar with Agile ceremonies (e.g. stand-up, backlog refinement, sprint planning).
• Excellent communication skills.
• Ability to thrive in fast-paced environments, and a thoughtful approach to AI fairness, accountability, and transparency.

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

Diversity, equity and inclusiveness are core to who we are and how we work. We hold a collective commitment to foster an environment where all differences are valued, practices are equitable, and everyone experiences a sense of belonging - where people are inspired to team and lead inclusively in their interactions every day.