AI & Data - AI Lab: Data Scientist - Agentic & Predictive Intelligence - Manager

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.

General Information

Location: Ireland - Dublin

Available for Work Visa Sponsorship: No

Business Area: AI & Data

EY exists to build a better working world, we empower our people by offering the culture, tech, teams, scale, challenges, learning, and the 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.

The Team and the opportunity

Join EY’s AI Lab, part of our innovation hub for EY Ireland. The AI Lab is where cutting-edge ideas meet real-world impact. We focus on developing advanced AI solutions, experimenting with emerging technologies, and creating prototypes that push the boundaries of what’s possible.

As part of this team, you’ll:

• Collaborate with experts in data science, machine learning, and engineering to design and deliver transformative AI solutions.
• Work on pioneering projects that explore generative AI, predictive analytics, and intelligent automation.
• Shape the future of business by turning research into scalable solutions for global clients.
• Innovate in a dynamic environment, where creativity and experimentation are encouraged.

This is more than a role—it’s an opportunity to be part of a team that is redefining how organizations harness AI to solve complex challenges. If you’re passionate about innovation and want to work at the forefront of AI technology, the AI Lab is the place for you.

Your Key Responsibilities

• Build and evaluate predictive and generative models using Python and cloud ML frameworks.
• Develop features and data pipelines in collaboration with engineering teams using Spark and Azure Data Factory.
• Integrate models into agentic AI solutions: recommendation, classification, forecasting and decision support.
• Leverage LLMs for data augmentation, summarisation and contextual reasoning.
• Communicate results clearly through visualisations and stakeholder presentations (Power BI).

To qualify for the role, you must have

• 5–7 + years’ experience in data science or applied ML.
• Proficiency in Python, SQL and ML libraries (scikit-learn, pandas, NumPy, PyTorch/TensorFlow).
• Experience with data wrangling, model development and evaluation on Azure Databricks or similar platforms.
• Familiarity with LLMs and embeddings for agentic applications.

Ideally, you will also have

• Knowledge of LangChain/LangGraph and hybrid AI architectures combining predictive and generative AI.
• Experience with explainability, bias detection and responsible AI practices.
• Consulting experience translating analytics into business impact.

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. 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

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 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. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance.

Career Progression

• When you join EY, you will be supported to ensure that you are enhancing your skills from day one.
• Continuous learning, where you can develop the mindset and skills to navigate whatever comes next.
• As you grow and develop here, you’ll discover opportunities to help customise your career journey, so that it’s as unique as you are - success is defined by you, we will provide the tools and flexibility, so you can make a meaningful impact, your way.