EY Assurance - Data and AI COOP Program

EY Riyadh Assurance - Data and AI COOP Program

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. Join EY and help to build a better working world.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.

Join EY and help build a better working world.

As an Intern in our FAAS – Data and AI team, you will be part of a dynamic team helping clients harness the power of data, analytics, and AI to solve complex business challenges. You will support the design, development, and deployment of data driven solutions, working across data engineering, data analytics, machine learning, and AI transformation initiatives. This role is ideal for a highly motivated graduate with strong analytical skills, a passion for technology, and the drive to build a career in consulting and advanced data solutions.

Key Responsibilities:

1. Data Analysis & Insights: Collect, clean, analyze, and interpret structured and unstructured data. Support creation of dashboards, reports, and visualizations using tools like Power BI, Tableau, or Python libraries. Translate analytical outputs into actionable business insights.

2. AI & Machine Learning Development: Assist in building, training, and evaluating machine learning and AI models. Participate in implementing NLP, predictive analytics, and automation solutions. Support development of proof of concepts and prototypes.

3. Data Engineering Support: Assist in building ETL/ELT/EL pipelines and data integration workflows. Work with cloud data platforms (Azure, AWS, GCP) to support data ingestion and transformation. Participate in creating data models, data dictionaries, and metadata structures.

4. Consulting & Client Delivery: Contribute to workshops, assessments, and documentation. Support in preparing deliverables: proposals, reports, presentations, and dashboards. Collaborate with cross functional teams to support AI and data strategy engagements.

Required Qualifications:

• Senior students pursuing Bachelor’s degree in accounting or finance, or Computer Science or any related field.
• To comply with the legal requirements, only Nationals will be considered
• Strong analytical and problem-solving skills.
• High learning agility, curiosity, and adaptability in fast paced consulting engagements
• Solid foundation in Python and SQL.
• Basic understanding of machine learning concepts and lifecycle.
• Understanding data warehousing concepts (Data Modeling, Data Marts, ETL/ELT) is an advantage.
• Knowledge of data visualization tools (Power BI, Tableau) is an advantage.
• Understanding of cloud services (Azure/AWS/GCP) is an advantage.

Curiosity and eagerness to learn new technologies. Strong communication and presentation skills. Ability to translate technical outputs into business language. Team players with a collaborative mindset. Familiarity with modern AI tools and GenAI concepts. Experience in data/AI related topics from university projects, internships, or personal projects.

What we offer you
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more .

• The hourly pay range for this job, in the US, is $XXX per hour. Individual salaries are based on education, geographic location, and alignment to the market data.
• If you join EY full time after your internship, we offer a competitive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. In addition, our Total Rewards package for full time hires includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
• Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
• Under…