Data Analytics & AI - Data Science & AI - Manager
Join to apply for the Data Analytics & AI - Data Science & AI - Manager 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 Manager, 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, identifying trends, patterns, and anomalies 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 and client operations.
* Communication: translate complex analytical findings into business language for stakeholders to inform decisions.
* Continuous Learning: stay informed of the latest advancements in data science and tools to stay at the cutting edge.
To qualify for the role, you must have
* Experience: Minimum of 6 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 libraries like Scikit-Learn, Keras, TensorFlow, PyTorch.
* Generative AI: Some hands-on experience with LLMs for prompt engineering or agents is preferred.
* Cloud Expertise: Experience 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: Translate business assumptions into feature engineering and model explainability to address business problems with data-driven solutions.
* Collaborative Development: Ability to work with senior data scientists and solution architects to build models aligned with client needs.
* Data Pipeline Management: Design, implement, and maintain data pipelines critical for model training and deployment.
What Working At EY Offers
We offer a competitive remuneration package with a comprehensive Total Rewards package including flexible working options and career development. EY provides benefits such as Pension, health insurance, flexible holidays, hybrid working, and more.
EY is committed to being an inclusive employer with flexible working arrangements. We welcome applications from all backgrounds and offer reasonable accommodations during recruitment.
Are you ready to shape your future with confidence? Apply today.
To help create the best experience during the recruitment process, please describe any disability-related adjustments or accommodations you may need.
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