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 build a better working world.
Data Analytics & AI – Data Science & AI – Senior Consultant
This role can be located in our offices across the Republic of Ireland and will work 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. 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 and identify trends, patterns, and anomalies that can 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 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: Effectively 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 of the field.
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:
o Python and SQL proficiency; experience with R is a plus.
o Practical experience using ML libraries such as Scikit‑Learn, Keras, TensorFlow, PyTorch and similar.
o Experience with generative AI (LLMs for prompt engineering or agents) preferred.
o Building, deploying and monitoring models on cloud platforms such as Azure, AWS or GCP preferred.
* Foundational Knowledge: A strong foundation in statistics, mathematics, AI principles and programming is essential for success in this role.
Ideally, you will also have
* Problem‑Solving: Translate business assumptions and rules into feature engineering and model explainability to address 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 to model training and deployment, ensuring reliability and efficiency of the data infrastructure.
What Working At EY Offers
* A competitive remuneration package and total rewards including flexible working and career development.
* 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.
* Benefits such as pension, discounted health insurance, free unlimited online GP consultations, 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, EY‑paid MBA, wellness rooms (in selected offices).
Career Progression
* Support from day one to enhance your skills.
* Continuous learning to navigate whatever comes next.
* Opportunities to customize your career journey and make a meaningful impact your way.
* Transformative leadership with coaching and confidence building.
* Diverse and inclusive culture that embraces who you are and empowers your voice.
* Hybrid working that adds flexibility and autonomy to employee roles.
About EY
As a global leader in assurance, tax, transaction and advisory services, EY uses 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 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. Our ability to include diverse viewpoints is fundamental to driving innovation and delivering the best solutions for our clients.
As an equal‑opportunity 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.
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