TC - AI and Data - Data Scientist - Senior

Overview

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.

Designation: Senior – Data Scientist Preferred

Experience: 4 – 8 years

• Bachelor’s/master’s degree in mathematics, Computer Science, Engineering, or similar disciplines
• 4+ years of hands-on Data Science experience with a proven record of successfully deploying projects to production
• Excellent problem-solving and data analysis skills, with expertise in predictive modeling, statistics, data mining, and machine learning algorithms
• Strong Python coding skills and flexibility in other coding languages including R.
• Experience in building powerful visualizations depicting data insights, model performance, and results while leveraging libraries and tools like Plotly, Power BI, and Tableau
• Experience with SQL and relational databases (e.g., MySQL, PostgreSQL, etc.).
• Familiarity with Generative AI techniques and frameworks, including but not limited to Ollama models, LangGraph, and LangChain.
• Ability to communicate effectively and manage relationships with stakeholders from both technical and non-technical backgrounds
• Willingness to travel to MENA region based on business needs
  
  

• Work independently as well as in a team environment to deliver end-to-end data science projects within the timeline and budget
• Analyze and interpret complex data sets to identify trends, patterns, and insights thereby creating business value
• Present findings and recommendations to stakeholders using data visualization tools and techniques
• Identify machine learning algorithms and methods best suited to solve specific business problems, including the application of Generative AI and Agentic AI.
• Design and conduct experiments to validate hypotheses and test assumptions.
• Implement data management for ML projects encompassing data extraction, validation, cleansing, processing, and storage
• Build robust code in Python, R, etc for data science applications
• Collaborate with other team members in achieving data science outcomes and handle multiple initiatives.
• Follow industry best practices, and stay up to date with machine learning research, frameworks, tools, and practices.
• Mentor junior members of the team
  
  

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.