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AI & Data - AI Lab: Data Scientist - Agentic & Predictive Intelligence - Manager
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On-site
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Full-time
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6d ago
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:
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Collaborate with experts in data science, machine learning, and engineering to design and deliver transformative AI solutions.
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Work on pioneering projects that explore generative AI, predictive analytics, and intelligent automation.
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Shape the future of business by turning research into scalable solutions for global clients.
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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
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Build and evaluate predictive and generative models using Python and cloud ML frameworks.
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Develop features and data pipelines in collaboration with engineering teams using Spark and Azure Data Factory.
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Integrate models into agentic AI solutions: recommendation, classification, forecasting and decision support.
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Leverage LLMs for data augmentation, summarisation and contextual reasoning.
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Communicate results clearly through visualisations and stakeholder presentations (Power BI).
To qualify for the role, you must have
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5–7 + years’ experience in data science or applied ML.
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Proficiency in Python, SQL and ML libraries (scikit-learn, pandas, Num Py, Py Torch/Tensor Flow).
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Experience with data wrangling, model development and evaluation on Azure Databricks or similar platforms.
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Familiarity with LLMs and embeddings for agentic applications.
Ideally, you will also have
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Knowledge of Lang Chain/Lang Graph and hybrid AI architectures combining predictive and generative AI.
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Experience with explainability, bias detection and responsible AI practices.
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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:
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Support and coaching from some of the most engaging colleagues around
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Opportunities to develop new skills and progress your career
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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:
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Pension
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Discounted health insurance
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Web Doctor
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Free unlimited online GP consultations for you and your family
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The purchase of additional annual leave
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Hybrid Working
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Free Gym membership
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Travel Pass
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Maternity & Paternity leave
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Bike to work Scheme
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Recognition Awards
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Cash incentives for referrals
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Work Mobile
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TECH MBA paid by EY
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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
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When you join EY, you will be supported to ensure that you are enhancing your skills from day one.
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Continuous learning, where you can develop the mindset and skills to navigate whatever comes next.
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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.
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Transformative leadership, we will give you the insights, coaching and confidence to be the leader the world needs.
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Diverse and inclusive culture, you will be embraced for who you are and empowered to use your voice to help others find theirs.
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We have embraced Hybrid working at EY adding greater flexibility and autonomy to the roles of our employees.
About EY
As a global leader in assurance, tax, transaction and advisory services, we’re using the finance products, expertise and systems we’ve 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.
Inclusion & Diversity
We hold a collective commitment to foster an environment where all differences are valued and respected, practices are equitable and everyone experiences a sense of belonging: Inclusion, diversity, and equity are part of who we are at EY. We believe that the highest-performing teams maximize the power of different perspectives and backgrounds. These teams are both diverse and inclusive and are willing to invite and learn from other perspectives. Our ability to include various viewpoints into our mindsets, behaviours and operations is fundamental to driving innovation, building strong relationships, and delivering the best solutions for our clients.
We recognise the strength that comes from having a diverse workforce and building a culture where we support all our people to achieve their potential. You’ll be embraced for who you are and empowered to use your voice to help others find theirs.
As an equal opportunities’ employer, we welcome applications from people of all backgrounds. Reasonable accommodations are offered at every stage of our recruitment process.
If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
IMPORTANT: Where Agency assistance is required, our Talent Team will engage directly with suppliers. CVs / Profiles should not be shared directly with Hiring Managers. Unsolicited CVs / Profiles supplied to EY by Recruitment Agencies will not be accepted for this role
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
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 work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
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About EY

EY
PublicA provider of assurance, tax, transaction, and advisory services.
10,001+
Employees
London
Headquarters
Reviews
3.8
15 reviews
Work Life Balance
2.5
Compensation
3.8
Culture
3.0
Career
3.5
Management
3.0
65%
Recommend to a Friend
Pros
Competitive compensation packages
Good career advancement opportunities
Strong brand recognition
Cons
Work-related stress and pressure
Limited negotiation flexibility on offers
Uncertain job security during economic downturns
Salary Ranges
31,254 data points
Mid/L4
Mid/L4 · Operations Research Analyst
1,738 reports
$142,571
total / year
Base
$136,899
Stock
-
Bonus
$5,673
$100,128
$203,912
Interview Experience
7 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer Rate
57%
Interview Process
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
Technical/Case Interview
5
Partner/Director Interview
6
Offer
Common Questions
Behavioral/STAR
Case Study
Technical Knowledge
Past Experience
Culture Fit