Data Scientist - Manager

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.

Designation: Manager - Data Scientist

Preferred Experience: 9 - 12 years

Preferred Qualifications

• Bachelor’s or Advanced degree (Master’s or Ph.D.) in Mathematics, Computer Science,Engineering, or a related field with a strong foundation in data science and machine learning
• 9+ years of hands-on Data Science experience with a proven record of independently deploying complex projects to production
• Expertise in predictive modeling, deep learning, advanced analytics, and the mathematical and statistical foundations of machine learning
• Exceptional Python coding skills and proficiency in SQL and relational databases (e.g.,MySQL, PostgreSQL)
• Extensive experience in Big Data technologies, cloud platforms, and developing custom algorithmic solutions beyond off-the-shelf models
• Understanding of AI ethics, governance, risk management, and compliance (GRC) standards
• Strong leadership and communication skills, with the ability to engage with stakeholders at all levels and manage cross-functional relationships
• Willingness to travel to the MENA region based on business needs
  
  

Responsibilities

• Lead and execute end-to-end data science projects, from conception to deployment, ensuring alignment with business objectives and timely delivery
• Collaborate with business stakeholders to define and scope data science initiatives that address complex challenges and drive value creation
• Implement and oversee data engineering for ML projects, including data extraction, validation, cleansing, processing, modeling and storage
• Analyze and interpret complex data sets to uncover trends and insights utilizing advanced visualization tools to communicate findings to the stakeholders
• Apply and refine advanced machine learning algorithms and methods best suited to solve specific business problems
• Maintain high standards of code quality and lead the engagements in adopting best practices in machine learning development
• Formulate and execute the organization's AI strategy, incorporating the latest industry trends and ethical considerations
• Develop AI governance frameworks to promote responsible use of AI technologies
• Lead collaboration efforts with other team members and departments to achieve data science outcomes and manage multiple strategic initiatives
• Mentor and develop junior members of the team, fostering a culture of continuous learning and innovation
  
  

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.