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For Companies At a Glance
- Tasks: Lead a team to develop AI solutions for tax compliance and strategy.
- Company: Join EY, a global leader in assurance and tax services, committed to innovation.
- Benefits: Enjoy flexible working, competitive pay, and opportunities for career growth.
- Why this job: Be at the forefront of tax technology transformation and drive impactful change.
- Qualifications: Strong experience in AI/ML, team leadership, and Python development required.
- Other info: Open to flexible working arrangements to support your personal priorities.
The predicted salary is between 43200 - 72000 £ per year.
This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board. At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
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:
- 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.
You might also have:
- Working knowledge of Azure.
- Experience in Snowflake.
- Working Knowledge of Power Platform and Copilot Studio.
What Working at EY Offers
We offer a competitive remuneration package where you will be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development. Plus, we offer:
- Support and coaching from some of the most engaging colleagues around.
- Opportunities to develop new skills and progress your career.
- The freedom and flexibility to handle your role in a way that's right for you.
EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service while allowing you to build your career without sacrificing your personal priorities.
About EY
As a global leader in assurance, tax, transaction and advisory services, we are using the finance products, expertise and systems we have developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, our ambition is to remain the market-leading brand for tax technology.
If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world.
Data Science Manager - Tax Technology and Transformation employer: EY
Contact Detail:
EY Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager - Tax Technology and Transformation
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning, especially as they relate to tax technology. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Network with professionals in the tax technology space, particularly those who work at EY or similar firms. Engaging in conversations about their experiences can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to showcase your leadership skills by thinking of examples where you've successfully led a team or project. EY values collaboration, so demonstrating your ability to mentor and guide others will be crucial.
✨Tip Number 4
Brush up on your technical skills, particularly in Python and Azure DevOps. Be ready to discuss specific projects where you've applied these technologies, as practical experience is highly valued for this role.
We think you need these skills to ace Data Science Manager - Tax Technology and Transformation
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, AI, and machine learning. Emphasise any leadership roles you've held and specific projects that demonstrate your ability to deliver results in a similar context.
Craft a Compelling Cover Letter: In your cover letter, express your passion for tax technology and transformation. Discuss how your skills align with the responsibilities of the Data Science Manager role and provide examples of how you've successfully led teams in the past.
Showcase Technical Skills: Clearly outline your proficiency in Python, machine learning algorithms, and tools like Azure DevOps and Git. Mention any experience with generative AI models and natural language processing, as these are key aspects of the role.
Highlight Communication Abilities: Since the role involves collaboration with cross-functional teams, emphasise your communication skills. Provide examples of how you've effectively conveyed complex technical concepts to non-technical stakeholders in previous roles.
How to prepare for a job interview at EY
✨Showcase Your Technical Expertise
As a Data Science Manager, it's crucial to demonstrate your hands-on experience with AI/ML. Be prepared to discuss specific projects where you've implemented machine learning solutions, focusing on the technologies and methodologies you used.
✨Emphasise Leadership Skills
Since this role involves leading a team, highlight your experience in mentoring and guiding data scientists. Share examples of how you've fostered collaboration and innovation within your teams to solve complex business problems.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about challenges you've faced in previous roles and how you applied statistical analysis or machine learning techniques to derive insights from large datasets.
✨Communicate Clearly and Effectively
Strong communication skills are essential for this position. Practice explaining complex concepts in simple terms, as you'll need to convey technical information to cross-functional teams and stakeholders during the interview.
