At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
GDS Consulting _D&A Senior Data Scientist
Role Description:
The Senior Data Scientist / AI Engineer delivers machine learning and AI solutions across a mixed project portfolio, including classical machine learning systems, generative AI applications, and agent-based AI solutions. The role spans solution design, development, deployment, and ongoing improvement, with a strong focus on building reliable, production-ready AI systems.
• Artificial Intelligence / Machine Learning Engineer is responsible for designing and developing machine learning models and AI applications, including generative AI and agent-based solutions.
• They work with data and AI platforms to build, integrate, and refine models and AI components, ensuring solutions are scalable, maintainable, and aligned with business needs.
• Responsibilities include implementing appropriate ML, GenAI, or agentic approaches depending on the problem, as well as improving and extending existing AI systems.
• They contribute to the delivery of AI solutions by applying MLOps / LLMOps practices such as deployment, versioning, monitoring, and continuous improvement.
• Their goal is to deliver practical, high-quality AI solutions that create measurable business value.
Requirements and Skills:
• Proven experience as a Data Scientist, AI Engineer, or Machine Learning Engineer working on production AI solutions
• Strong programming skills in Python and experience building AI or ML-based applications
• Hands-on experience with machine learning and exposure to generative AI and agent-based AI solutions
• Experience supporting AI solutions through deployment and operational workflows (MLOps / LLMOps)
• Understanding of data structures, data modeling, and software engineering principles
• Familiarity with common machine learning and AI frameworks and libraries
• Excellent communication skills and ability to work effectively in a team
• Strong analytical thinking and problem-solving abilities
EY | Building a better working world
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
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.