Transformation jobs in United States

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Job Title - Data Science Manager - Tax, Technology and Transformation

Location - London

Overview

Tax departments face unprecedented challenges, including compliance pressures, resource constraints, and increased scrutiny from digital tax authorities. These demands necessitate urgent transformation.

EY's Tax Technology and Transformation Consulting team (EY TTT Consulting) specializes in helping clients navigate these complexities by integrating advanced technology with expertise in tax, finance, and consulting. Our innovative approach and market-leading platforms position us for growth in this evolving landscape.

We are expanding our team and seeking ambitious individuals with fresh perspectives and innovative solutions to future tax challenges.

The Opportunity

Join EY's Transformation capability within the Tax Technology and Transformation Consulting team as a Data Science Manager. Lead a team of data scientists and AI engineers to develop machine learning and generative AI solutions that improve tax compliance and strategy.

Your hands-on experience will guide your team in exploring emerging technologies to revolutionize tax functions, ensuring alignment with client strategies and delivering measurable ROI. Drive innovation in tax technology!

Key Responsibilities:

• Lead and mentor a team of data scientists in designing, developing, and implementing generative AI solutions for complex problems.
• Collaborate with cross-functional teams and clients to gather requirements and translate them into technical specifications.
• Oversee development and maintenance of production Python applications for machine learning and AI.
• Apply statistical analysis and machine learning techniques to extract insights from large datasets.
• Develop 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 promote best coding practices.

Qualifications:

• Proven experience in AI/ML development, delivering end-to-end projects, and leading teams.
• Strong understanding of AI/ML algorithms, data science, and machine learning principles.
• Proficiency in rapid prototyping on large datasets.
• Experience with frameworks like Langchain, Semantic Kernel, AutoGen, LangGraph for agentic workflows.
• Expertise in developing and optimizing generative AI models, prompt engineering, and LLMs.
• Strong Python development skills, including Docker and version control with Git.
• Knowledge of Databricks.
• Excellent communication skills for conveying complex concepts.
• Experience in Agile environments and familiarity with Agile ceremonies.
• Ability to work effectively in fast-paced settings with a focus on AI fairness, accountability, and transparency.

Preferred Skills:

• Azure cloud experience.
• Knowledge of Snowflake.
• Familiarity with Power Platform and Copilot Studio.