General Information
Location: Ireland - Dublin / Cork / Limerick / Galway
Available for Work Visa Sponsorship: No
Business Area: UKI AI & Data
Contract Type: Full-Time – Permanent
Key Responsibilities
Big Data Analysis: The capability to analyse large and complex datasets to extract actionable insights.
Statistical Modeling: The ability to applying 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: The ability to build and manage the full lifecycle of ML models including development, validation, deployment, and monitoring in production environments.
Collaboration: The ability to work closely 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: The skill to effectively communicate complex analytical findings and model results to stakeholders, translating data-driven insights into business language that informs decision‑making.
Continuous Learning: The ability to stay informed of the latest advancements in data science, including techniques and tools, to ensure our team remains at the cutting edge of the field.
Qualifications
Experience: 3 years of hands‑on experience in building and deploying machine learning or deep‑learning models in real‑world applications.
Technical Expertise:
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 like Azure, AWS or GCP is preferred.
Foundational Knowledge: A strong foundation in statistics, mathematics, AI principles and programming is essential for success in this role.
Preferred Experience
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: Be able to design, implement, and maintain data pipelines that are critical for model training and deployment. Your expertise will ensure the reliability and efficiency of our 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. 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.
Benefits
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
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.
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