AI Consultant

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.​

Being part of EY in Greece means being part of a continuously growing team, which has been announced as Top Employer for the fourth consecutive year, certified as a Great Place to Work for the third year in a row, and awarded as Best Workplace in Professional Services & Consulting for the second consecutive time, for our almost 3,000 professionals!

At EY, we’ll develop you with future-focused skills and equip you with world-class experiences through coaching and training programs as well as the use of advanced technology and AI. We’ll fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams

Join us as we commemorate 100 years of EY in Greece this year. Experience great flexibility under our hybrid operating model across our offices in Athens, Patras, Thessaloniki and Crete and contribute to building a better working world.

The opportunity

Modern technology produces more data than ever before and has also produced new AI algorithms and tools, resulting in new opportunities and substantiated business insights in support of new and deeper insights, more informed actions and decision making. EY delivers leading services and solutions in the area of big data, business intelligence and data engineering built on a blend of tools and custom-developed methods.

 As part of our AI & Data team of the Technology Consulting practice, you will work with multi-disciplinary teams to support clients in a wide range of data initiatives aiming to generate and present new, useful and actionable insights. You will have the opportunity to work and take responsibilities in challenging engagements, gaining exposure to clients in various sectors both in Greece and abroad.

Your key responsibilities

• Design and develop AI algorithms, models, and systems using tools like PyTorch and TensorFlow for real-world applications.
• Keep up with the latest advancements in AI technologies, including generative AI and the latest features of popular tools.
• Collaborate with cross-functional teams to understand requirements and develop AI solutions.
• Collect, clean, and preprocess data using appropriate tools and libraries, ensuring compatibility with AI algorithms and frameworks.