Overview

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.

Data Analytics & AI – Data Science & AI – Manager

EY exists to build a better working world. We empower our people by offering the culture, tech, teams, scale, challenges, learning, and relationships for you to personalise and build your career, helping to create long-term value for clients, people and society and build trust in the capital markets. This role can be located in our offices across the Republic of Ireland, 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.

The Team and the Opportunity

As part of our Data Analytics and AI team, the Data Scientist & AI role is pivotal in enabling our clients to derive significant value from their information assets. Through collaboration and domain expertise, our team embeds innovative data analytics solutions into existing business areas, transforming data into strategic assets. We are looking for a Data Scientist who is passionate about leveraging data to solve complex problems and drive business outcomes.

You will play a key role in driving growth by developing new and existing client relationships and delivering first-class customer experience on high-profile engagements. The Data Analytics and AI team serve as trusted advisors, both practical and innovative, to embed innovative data analytics solutions into existing business areas and transforming data into strategic assets. Working across all industries, you’ll develop your career by communicating creative, strategic goals both internally and externally. As a Manager, the opportunity to assess and improve our clients’ reporting policies and corporate governance processes will impact these ever-challenging areas during transformational and regulatory changes.

Your Key Responsibilities

• Big Data Analysis: analyse large and complex datasets to extract actionable insights, identifying trends, patterns, and anomalies that inform business strategies.
• Statistical Modeling: apply statistical techniques to extract insights, build predictive models, interpret data, and support data-driven decision making.
• Machine Learning and AI Model End to End Management: build and manage the full lifecycle of ML models including development, validation, deployment, and monitoring in production environments.
• Collaboration: work with cross-functional teams to develop, test, and deploy advanced machine learning models, ensuring alignment with business objectives and seamless integration into client operations.
• Communication: communicate complex analytical findings and model results to stakeholders, translating data-driven insights into business language that informs decision-making.
• Continuous Learning: stay informed of the latest advancements in data science, including techniques and tools, to keep the team at the cutting edge.

To qualify for the role, you must have

• Experience: Minimum of 6 years of hands-on experience in building and deploying machine learning or deep learning models in real-world applications.
• Technical Expertise: Proficiency in Python, SQL, and deep learning frameworks such as TensorFlow and PyTorch.
• Programming: Solid experience in Python and SQL. Experience with R is a nice-to-have.
• ML and AI: Practical experience using ML modeling libraries like Scikit-Learn, Keras, TensorFlow, PyTorch and similar.
• Generative AI: Some hands-on experience with LLMs for prompt engineering or agents is preferred.
• Cloud Expertise: Building, deploying and monitoring models on cloud platforms such as Azure, AWS or GCP is preferred.
• Foundational Knowledge: A strong foundation in statistics, mathematics, AI principles and programming.

Ideally, you will also have

• Problem-Solving: Ability to translate business assumptions and rules into feature engineering and model explainability, addressing business problems with data-driven solutions.
• Collaborative Development: Work under the guidance of senior data scientists and solution architects to build models that align with strategic visions and client needs.
• Data Pipeline Management: Design, implement, and maintain data pipelines critical for model training and deployment, ensuring reliability and efficiency of data infrastructure.

What Working At EY Offers

We offer a competitive remuneration package. Our comprehensive Total Rewards package includes support for flexible working and 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.

• Support and coaching from engaging colleagues
• 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

All our employees are given a benefits package which they can tailor to suit their individual preferences. Our range of benefits include:

• Pension
• Discounted health insurance
• Web Doctor – Free unlimited online GP consultations for you and your family
• The purchase of additional annual leave
• Hybrid Working
• Free Gym membership
• Travel Pass
• Maternity & Paternity leave
• Bike to work Scheme
• Recognition Awards
• Cash incentives for referrals
• Work Mobile
• TECH MBA paid by EY
• Wellness rooms available in some offices

EY is committed to being an inclusive employer and we 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 personal priorities. Travel to client sites may be required.

Career Progression

• Join EY and you will be supported to enhance your skills from day one.
• Continuous learning to develop the mindset and skills for whatever comes next.
• Opportunities to tailor your career journey so it’s as unique as you are.
• Transformative leadership with insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture where you are embraced and empowered to use your voice.
• Hybrid working flexibility to balance work and life.

About EY

As a global leader in assurance, tax, transaction and advisory services, EY builds a better working world by giving training, opportunities and creative freedom to make things better. Our inclusive culture supports flexible working arrangements and meaningful career development.

Inclusion & Diversity

We hold a collective commitment to foster an environment where all differences are valued and respected. We are an equal opportunities employer and welcome applications from all backgrounds. Reasonable accommodations are offered at every stage of recruitment.

Are you ready to shape your future with confidence? Apply today. If you need disability-related adjustments, please describe them in your application.

Important: Where agency assistance is required, EY’s Talent Team will engage directly with suppliers. CVs/profiles should not be shared directly with Hiring Managers. Unsolicited CVs/profiles from recruitment agencies will not be accepted for this role.

EY | Building a better working world

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams operate across assurance, tax, strategy and transactions, serving more than 150 countries and territories.