Data Science Programs Lead

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. 

Data Science Programs Lead – Associate Director

Team: Global Finance

Job Rank: Associate Director

The opportunity 

Global Analytics is a progressive, forward-thinking, cross-functional team of approximately 25 individuals, positioned at the intersection of key decision-making processes and diverse insight use cases across the firm. Our culture is built on openness and collaboration, fostering an environment where every team member is empowered to reach their full potential and contribute to meaningful outcomes.

You will be leading the Data Engineering and Data Science pillars within the Global Analytics team that sits in EYs Global Finance function; we work with EY’s leadership teams to ensure that the best data and analytics-driven insights are used in strategic and operational decision-making across the firm.

Your key responsibilities

You will support and collaborate closely with the Global Analytics team lead and other pillar leads to scope, explore and deliver advanced data science/ML projects that meet the requirements of the business in driving growth or creating efficiencies:

This analysis will involve key strategic pieces such as:

• Machine Learning driven financial forecasts for each part of our firm to inform EYs planning cycle and talent strategy
• Predicting the revenue potential of each of EYs services on each of our clients as well as predicting the next best action in terms of business development within that client
• Producing data driven recommendations into how our accounts can optimise their service delivery in order to improve margins
• Create and manage a best in class data management framework and architecture that can be leveraged by agentic AI  

Across your project responsibilities you will be required to:

• Use agile best practices to effectively manage the priorities and workflow of your team across multiple projects
• Ensure high standard are maintained in terms of your teams work – ensuring robust processes for validation, testing and release management are followed throughout the team
• Be a thought leader – having a strong curiosity about EYs needs when it comes to predictive insights and using this combined with an expert level of know how to proactively drive recommend next steps
• Coach and develop the team to ensure that they have the right skills to succeed and putting plans in place to improve weak spots 
• Communicate developments eloquently to a range of stakeholders including non technical senior leaders in a way that is relevant to them, as well as with other technical teams that we collaborate with

As a senior leader in the data and analytics space, you will already have a leading knowledge in data engineering and machine learning and you will use this to drive innovation across the team, creating an environment to support the development of new ideas and continuous improvements to ways of working, both within the analytics team and in the teams we work with.

You will coach junior colleagues to enable them to carry out analysis for senior leaders. This may include managing of workload, quality assessment and evaluation, skill transfer and supervision, deliverable expectations and timeframes across multiple projects.

To qualify for the role you must have:

• An excellent track record in leading teams developing data science/machine learning solutions to meet the business question being asked
• The ability to generate rapport and build trust with key stakeholders of the team
• The ability to determine, produce and clearly explain a visual story around the analysis to land the intended message with key stakeholders
• A strong track record of proactive innovation where you have autonomously gone from identifying a business requirement to successfully incepting a new solution that meets it
• Strong experience creating and managing automated ETL processes for machine learning pipelines and the management of relational database schemas
• Strong practical experience of performing exploratory analytics through to creating data science / machine learning pipelines using a combination of Python and SQL

Ideally, you’ll also have some of the following:

• Experience with Graph databases and metadata management is advantageous 
• Experience of LLMs using both vectorized data and structured data is advantageous
• Experience of PowerBI advantageous

What working at EY offers

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 whilst allowing you to build your career without sacrificing your personal priorities.

We offer a competitive remuneration package where you’ll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions.

Plus, we offer:

• Support, coaching and feedback 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 | Building a better working world 

 
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.  

 
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.  

 
Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.