Data Science Manager - Ernst & Young

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Job Title – Data Science Manager – 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 as a Data Science Manager. In this role, you will lead a team of data scientists and AI engineers to develop and implement machine learning and generative AI solutions that enhance tax compliance and strategy.

Your hands-on experience will be crucial in guiding your team to explore how emerging technologies can revolutionize tax functions, ensuring alignment with clients' business strategies and delivering measurable ROI. Embrace this opportunity to drive innovation in tax technology!

Key Responsibilities:

• 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.

To Qualify for the Role, You Must Have:

As a Data Science manager, 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.

• Demonstrated proficiency in:

• 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.

• Excellent communication skills, with the ability to effectively convey complex concepts to cross-functional teams and stakeholders.

• 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.

you might also have

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