Data Science Manager - Tax Technology and Transformation

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

Location - London

Overview

Tax departments face unprecedented challenges, including compliance pressures and increased scrutiny from digital tax authorities. Many tax functions require urgent transformation.

At EY's Tax Technology and Transformation Consulting team (EY TTT Consulting), we help clients navigate these complexities by integrating advanced technology with deep tax, finance, and consulting expertise. Our innovative practices and platforms position us for significant growth.

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 team within the Tax Technology and Transformation Consulting 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 and implementing generative AI solutions to solve complex problems.
• Collaborate with cross-functional teams and clients to gather requirements and translate them into technical specifications.
• Oversee the 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 natural language processing (NLP) models to automate processes and enhance user experience.
• Utilize Azure DevOps for project management and CI/CD practices.
• Manage version control with Git and promote best practices in code collaboration.

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.
• Experience in rapid prototyping on large datasets.
• Building autonomous workflows using frameworks like Langchain, Semantic Kernel, AutoGen, and LangGraph.
• Developing and optimizing generative AI models, including prompt engineering and LLMs.
• Proficiency in Python, Docker, and version control with Git.
• Knowledge of Databricks.
• Excellent communication skills for conveying complex concepts.
• Experience working in Agile environments.
• Ability to thrive in fast-paced settings with a focus on AI fairness and transparency.

Additional Skills:

• Working knowledge of Azure.
• Experience with Snowflake.
• Familiarity with Power Platform and Copilot Studio.

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