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Data Science Manager - Tax Technology and Transformation

Out in Science, Technology, Engineering, and Mathematics

London

On-site

GBP 70,000 - 100,000

Full time

5 days ago
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Job summary

A leading consulting firm is seeking a Data Science Manager to head a team focused on innovative AI and machine learning solutions for tax technology. This role involves driving transformation strategies, optimizing workflows, and delivering impactful projects. Ideal candidates will demonstrate expertise in AI/ML development, proven team leadership, and strong communication skills. Join to drive innovation in the evolving landscape of tax technology.

Qualifications

  • Proven experience in AI/ML development and leading teams.
  • Strong understanding of AI/ML algorithms and data science principles.
  • Ability to build autonomous workflows and optimize generative AI models.

Responsibilities

  • Lead and mentor a team of data scientists in AI solutions.
  • Collaborate to gather requirements and translate them into specifications.
  • Oversee the development of production Python applications.

Skills

AI/ML development
Machine learning principles
Python
Natural Language Processing
Agile environments
Data science
Communication skills

Tools

Docker
Azure
Databricks
Snowflake

Job description

At EY, we're committed to shaping your future with confidence.

Join our diverse teams and take your career to new heights.

Join EY and help build a better working world.

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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