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Job Description
Roles & Responsibilities
Key Responsibilities
- Design and deliver end-to-end AI, machine learning, and data science solutions across multiple client engagements.
- Develop and implement advanced analytics, predictive modeling, and generative AI use cases.
- Architect and deploy AI and ML solutions across enterprise platforms and cloud environments.
- Support the design and implementation of generative AI architectures and AI-enabled applications.
- Collaborate with data engineers, platform teams, and business stakeholders to operationalize AI solutions.
- Implement and support MLOps and AIOps practices to enable scalable and production-ready AI.
- Prepare and deliver high-impact client presentations, technical designs, and executive-level materials.
- Contribute to AI and Data & AI proposal development, solution shaping, and estimations.
- Guide junior team members and contribute to EY assets, methodologies, and accelerators.
Skills and Attributes for Success
- Strong hands-on experience in Python and SQL for data science and analytics use cases.
- Solid understanding of data modeling and advanced analytics techniques.
- Proven experience with machine learning, deep learning, and generative AI implementations.
- Strong knowledge of AI platforms, infrastructure, and enterprise deployment patterns.
- Experience with cloud and on-premise technologies supporting AI, ML, MLOps, and AIOps.
- Working knowledge of data management and governance tooling such as OpenMetadata, Dataplex, Informatica, Collibra, or similar is a plus.
- Excellent storytelling skills with the ability to articulate AI value to technical and business audiences.
- Strong business and commercial acumen within a consulting delivery environment.
Additional Experience (Advantageous)
- Exposure to data strategy, AI strategy, data governance, and AI governance initiatives.
- Understanding of data quality frameworks and regulatory requirements including NDI, NDMO, and PDPL.
- Experience contributing to large-scale data and AI strategy or transformation programs.
Experience and Qualifications
- 3 7+ years of experience in Data & AI consulting, with a strong focus on AI and data science delivery.
- Proven track record of delivering machine learning or AI solutions in a consulting or enterprise environment.
- Bachelor s or Master s degree in Computer Science, Data Science, Engineering, or a related field.
Desired Candidate Profile
The Opportunity
At EY, we help organizations unlock value from artificial intelligence and advanced analytics by designing and delivering scalable, responsible, and business-driven AI solutions. As a Senior Consultant / Assistant Manager within our Data & AI practice, you will lead the delivery of advanced AI, machine learning, and generative AI use cases across complex client environments.br> br>You will work closely with clients across the Saudi market to design AI platforms and data science solutions, while contributing to large-scale transformation programs, proposals, and the growth of EY s AI capability./p>
Company Industry
- Banking
- Financial Services
- Broking
Department / Functional Area
- IT Software
Keywords
- Senior Consultant/Assistant Manager - Tech Consulting - Data & AI - Data Scientist
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Ernst & Young AE
At EY, you will work at the forefront of AI and emerging technologies, supporting organizations across Saudi Arabia on high-impact initiatives aligned to Vision 2030. You will join a collaborative, high-performing team while developing deep technical expertise and long-term leadership capabilities in AI and data science.