EY Data Analytics & AI - Engineering Senior Consultant 

Ireland 

239724275

p: YesFull-Time – Permanent

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.

• Leading diverse teams with varying skillsets, who use different Data and Analytics technologies.
• Adapting your leadership style to fit team, client, and cultural needs, they will look to you to
anticipate and identify risks and escalate issues as appropriate.
• As an influential member of the team, you’ll create a positive learning culture and will coach and
counsel junior members of the team and help them develop.
• Statistical analysis and modelling tools such as SAS, SPSS, R or similar packages would be preferrable.
• Data manipulation languages such as SQL.
• Data visualization software such as Tableau, PowerBI, QlikView or Spotfire.
• Applying predictive modelling techniques to key business issues faced by our clients.
• Drawing on your knowledge and experience, you’ll create innovative commercial insights for clients,
adapt methods and practices to fit operational, team and cultural needs, and contribute to thought
leadership.

• Strong academic record including a degree /MSc/PhD in: Mathematics / Statistics / Computer Science
/ Engineering.
• 3 years of consulting or other relevant industry experience.
• Data engineering experience including building data pipelines, data infrastructure design, algorithm
development and implementing cloud-based and on-prem data solutions.
• Experience with tools like SQL, MS Azure, Snowflake, etc and strong understanding of data modelling,
data quality, modelling, optimisation, data architecture and ETL processes.
• Proficiency in Python, R, and other programming languages used in AI.
• Experience of deployment and configuration of DevOps pipelines, code repositories, automated
testing etc.

• The ability to demonstrated strength in data modelling, ETL development, data warehousing/lakes,
ability to supervise and develop others, managing projects, budgets, scope creep, expectations,
deliverables, and timelines.
• Be analytically minded and can assimilate and apply new techniques and knowledge quickly to deliver
insights and solve problems and communicate technical information in non-technical language.
• A passion to contribute to the growth of the team.
• Proficiency in NLP techniques and tools for text analysis.
• Skills in image processing and computer vision algorithms.
• Hand-on experience Advanced skills in Python for data manipulation, automation, and building data
pipelines.
• Proficiency in Java or Scala for working with big data tools like Apache Spark.
• Ability to write shell scripts for automating routine tasks and managing data workflows.
• Hand-on experience building using Orchestration tools such as ADF, SSIS, Airflow etc
• Hands-on experience with cloud services, e.g., Azure Databricks, Google Cloud, AWS
• Hands-on experience in working with Agile methods for software delivery e.g., Scrum, SAFE, Kanban,
Lean, TDD and CI/CD.
• It would be advantageous if you had attained data-related cloud certifications in Azure and/or AWS

• Ability to think on your feet and challenge existing practices to develop answers to complex issues.
• The Skill to collaborating with colleagues across multiple service lines, we will look to you to build
relationships and identify opportunities for our clients to benefit from our knowledge in other areas.
• The capability for occasional travel may be necessary as you will be meeting with key clients, some of
whom are the most respected in their fields.
• With guidance from partners, directors, and senior managers, you’ll identify and act on potential
business opportunities for EY.

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.
All our employees are given a benefits package which they can tailor to suit their individual preferences. Our
range of benefits include:
• Pension

• Maternity & Paternity leave
• Discounted health insurance

• Bike to work Scheme
• Web Doctor - Free unlimited online GP consultations for you and your family
• Recognition Awards
• The purchase of additional annual leave

• Cash incentives for referrals
• Hybrid Working

• Work Mobile
• Free Gym membership

• TECH MBA paid by EY
• Travel Pass

• 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.

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.