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.
EY GDS – AI and Data – Data Scientist – Senior Consultant
Preferred Qualifications
Bachelor’s/master’s degree in mathematics, Computer Science, Engineering, or similar disciplines
3-6 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, Matplotlib and Power BI
Demonstrated expertise in working with SQL and other relational databases for data science purposes
Ability to communicate effectively and manage relationships with stakeholders from both technical and non-technical backgrounds
Willingness to travel to the Middle East & North Africa (MENA) region based on business needs
Industry-specific experience in Oil & Gas or Power & Utilities would be preferred.
Responsibilities
Work independently as well as in a team environment to deliver end-to-end data science projects within the timeline and budget
Collaborate with business stakeholders to comprehend and translate business problems into well-defined data science projects
Analyze and interpret complex data sets to identify trends, patterns, and insights thereby creating business value
Identify machine learning algorithms and methods best suited to solve specific business problems
Design and conduct experiments to validate hypotheses and test assumptions.
Effectively communicate findings and recommendations to stakeholders using data visualization tools and techniques
Build robust code in Python, R, etc for data science applications
Follow industry best practices, and stay up to date with machine learning research, frameworks, tools, and practices.
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