Senior Manager, Data & AI, Tax Technology and Transformation, London at EY

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

15 Mar, 26

Salary

0.0

Posted On

15 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, AI, Machine Learning, Generative AI, Python, Statistical Analysis, Natural Language Processing, Azure DevOps, Git, Docker, Agile Development, Prompt Engineering, LLMs, Databricks, Snowflake, Power Platform, Copilot Studio

Industry

Professional Services

Description

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. The opportunity EY Tax is a market leader, renowned for delivering sustainable growth and empowering our people to shape their own careers. Our diverse, collaborative team advises on high-profile transactions, combining technical expertise, innovation and a genuine focus on continuous development. Join us to work on challenging, multi-country projects in a supportive, dynamic environment where your impact truly matters. Tax departments face mounting compliance pressures, resource constraints, and scrutiny from digital tax authorities, driving an urgent need for transformation. EY’s Tax Technology and Transformation Consulting team (“EY TTT Consulting”) helps clients meet these challenges by combining advanced technology with deep tax and finance expertise. Our innovative platforms and consulting approach position us as a leader in this evolving space. We’re growing fast and looking for ambitious individuals to deliver fresh ideas and solutions for the future of tax. Join EY’s TTT Consulting team as a Data & AI Senior Manager. You’ll lead a team of data scientists and AI engineers to design and deploy machine learning and generative AI solutions that enhance tax compliance and strategy. Your expertise will guide innovation, aligning emerging technologies with client objectives to deliver measurable ROI. This is your chance to shape the future of tax technology. Your key responsibilities Collaborate with senior stakeholders across EY and our clients to identify opportunities for transformation leveraging data science and AI capabilities. Lead and mentor a team of data scientists in the design, development, and implementation of generative AI solutions to solve complex business problems. Collaborate with cross-functional teams and clients to gather requirements and translate them into actionable technical specifications. Oversee the development and maintenance of production-grade Python applications for machine learning and AI. Drive the application of statistical analysis and machine learning techniques to derive insights from large datasets. Guide the development of natural language processing (NLP) models to enhance user experience and automate processes. Utilize Azure DevOps for project management and CI/CD practices, ensuring efficient delivery of projects. Manage version control using Git and promote best practices in code development and collaboration. Skills and attributes for success What we look for Excellent communication skills, with the ability to effectively convey complex concepts to cross-functional teams and stakeholders. Ability to manage projects effectively by bridging the knowledge gap between business process stakeholders and technical development teams. You should have strong commercial development experience in AI/ML, with a proven track record as a hands-on data scientist, delivering projects end to end, and experience in leading teams. Strong understanding of AI/ML algorithms, data science, and machine learning principles. Rapid prototyping of data science and machine learning solutions 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. Experience in Agile development environment and familiar with Agile ceremonies (e.g. stand-up, backlog refinement, sprint planning). Ability to thrive in fast-paced environments, and a thoughtful approach to AI fairness, accountability, and transparency. Ideally, you’ll also have: Working knowledge of Azure. Experience in Snowflake. Working Knowledge of Power Platform and Copilot Studio. Experience transforming tax or finance processes using technology What we offer you At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more. Are you ready to shape your future with confidence? Apply today. To help create the best experience during the recruitment process, please describe any disability-related adjustments or accommodations you may need. 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.

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Responsibilities

Lead a team of data scientists and AI engineers to design and deploy machine learning and generative AI solutions. Collaborate with stakeholders to identify transformation opportunities and oversee the development of production-grade applications.