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EY EY - GDS Consulting AI DATA Data Science- Senior 
India, Kerala, Kochi 
117552912

19.11.2025

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.



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