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Data Science Manager - Tax Technology and Transformation

Ernst & Young
London
1 week ago
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Responsibilities

: Lead and mentor a team of data scientists in the design, development, and implementation of generative AI solutions to solveplex 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 strongmercial 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. Excellentmunication skills, with the ability to effectively conveyplex concepts to cross-functional teams and stakeholders. Experience in Agile development environment and familiar with Agile ceremonies ( 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 haveWorking knowledge of Azure. Experience in Snowflake. Working Knowledge of Power Platform and Copilot Studio. Job ID 1614683

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National AI Awards 2025

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