
Data Analytics & AI - Data Science & AI - Senior Consultant
- Southside Dublin
- Permanent
- Full-time
- Big Data Analysis: The capability to analyse large and complex datasets to extract actionable insights. Your analytical skills will be key in identifying trends, patterns, and anomalies that can inform business strategies.
- 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.
- 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 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.
- 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.
- 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
- 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
- When you join EY, you will be supported to ensure that you are enhancing your skills from day one.
- Continuous learning, where you can develop the mindset and skills to navigate whatever comes next.
- 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.
- Transformative leadership, we will give you the insights, coaching and confidence to be the leader the world needs.
- Diverse and inclusive culture, you will be embraced for who you are and empowered to use your voice to help others find theirs.
- We have embraced Hybrid working at EY adding greater flexibility and autonomy to the roles of our employees.