EY - GDS Consulting - AI and DATA - Data Science- Senior

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. 

Job Title: Data Scientist - Senior

Experience: 24 years

Job Summary: We are seeking a talented Data Scientist to join our team in the banking and insurance sectors. The ideal candidate will have a strong background in data analysis and modeling, with hands-on experience in SAS, R, Python, and Generative AI (GenAI). This role will focus on leveraging data to drive insights and support decision-making processes within the organization.

Key Responsibilities:

• Data Analysis: Analyze large datasets to extract meaningful insights and support business decisions in banking and insurance operations.
• Model Development: Develop and implement predictive models using SAS, R, and Python to address business challenges and improve operational efficiency.
• Generative AI Applications: Explore and apply Generative AI techniques to enhance data-driven solutions and create innovative products and services.
• Collaboration: Work closely with cross-functional teams, including data engineers, business analysts, and stakeholders, to understand data requirements and deliver actionable insights.
• Data Visualization: Create compelling visualizations and reports to communicate findings and recommendations to both technical and non-technical audiences.
• Cloud Integration: Utilize Azure services for data storage, processing, and model deployment to ensure scalability and efficiency.
• Continuous Learning: Stay updated on industry trends, emerging technologies, and best practices in data science and analytics.

Qualifications:

• Education: Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
• Experience: 2-4 years of experience as a Data Scientist, preferably in the banking and insurance sectors.
• Technical Skills: Proficiency in SAS, R, and Python for data analysis and modeling.
• Generative AI Knowledge: Familiarity with Generative AI concepts and applications.
• Cloud Proficiency: Experience with Azure services for data analytics and model deployment.
• Analytical Skills: Strong analytical and problem-solving skills, with the ability to interpret complex data and provide actionable insights.
• Communication Skills: Excellent communication skills, with the ability to present findings clearly and effectively to diverse audiences.

Preferred Skills:

• Experience with data visualization tools (e.g., Tableau, Power BI) to create insightful dashboards and reports.
• Knowledge of machine learning algorithms and techniques.
• Familiarity with data governance and compliance standards in the banking and insurance sectors.

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.