EY Technology Consulting - EY GDS AI Data 

India, Kerala, Thiruvananthapuram 

608020288

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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