Data Analytics & AI - Data Science & AI - Senior Consultant
Join to apply for the Data Analytics & AI - Data Science & AI - Senior Consultant role at EY
Location: Ireland - Dublin / Cork / Limerick / Galway
Available for Work Visa Sponsorship: Yes
Business Area: Consulting
Contract Type: Full-Time – Permanent
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.
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 Senior Consultant, 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 to 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 aligned with business objectives.
* Communication: translate complex analytical findings to stakeholders in business terms.
* Continuous Learning: stay informed of latest advancements in data science, techniques and tools.
To qualify for the role, you must have
* Experience: 3 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: 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: experience working with senior data scientists and solution architects to build models aligned with strategic visions and client needs.
* Data Pipeline Management: ability to design, implement, and maintain data pipelines critical for model training and deployment.
What Working At EY Offers
We offer a competitive remuneration package. Our comprehensive Total Rewards package includes support for flexible working and career development, 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
* 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
Inclusion & Diversity
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 while delivering excellent client service. Travel to client sites may be required.
As an equal opportunities’ employer, we welcome applications from people of all backgrounds. Reasonable accommodations are offered at every stage of our recruitment process.
Are you ready to shape your future with confidence? Apply today.
Important: Where agency assistance is required, our Talent Team engages 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
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