Senior Data Scientist - Tax, Technology and Transformation

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.

Job Title - Senior Data Scientist - Tax, Technology and Transformation

Location - London

Overview

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.

The Opportunity

Join EY's specialist 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 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!

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

As a Senior Data Scientist, you should have 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.

What you might also have

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

DE&I Statement

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.

What Working at EY Offers
We offer a competitive remuneration package where you will be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development. Plus, we offer:

• Support and coaching from some of the most engaging colleagues around.
• Opportunities to develop new skills and progress your career.
• The freedom and flexibility to handle your role in a way that's right for you.

Flexible working

EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service while allowing you to build your career without sacrificing your personal priorities.

About EY
As a global leader in assurance, tax, transaction and advisory services, we are using the finance products, expertise and systems we have developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, our ambition is to remain the market-leading brand for tax technology.

If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.

Join us in building a better working world.

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.