Data Science / Data Analytics Intern

Are you an undergraduate or postgraduate student eager to launch your career in data science? The EY Virtual Data Science Internship 2025 is now open for applications, offering a unique opportunity to work with one of the world's most prestigious professional services firms. With a competitive stipend, real-world projects, and the chance to learn from industry leaders, this internship is your gateway to the fast-growing world of data analytics and digital transformation. Why Choose the Virtual Data Science Internship? 1. Work With a Global Leader Ernst & Young (EY) is a global powerhouse in assurance, consulting, strategy, and transactions, with a presence in over 150 countries. As an intern, you'll join a network of 400,000+ professionals, gaining exposure to best practices and cutting-edge solutions in data science, analytics, and emerging technologies. 2. Stipend and Career Growth Selected interns can expect a stipend in the range of INR 20,000–25,000 per month, making this one of the most rewarding internship opportunities for students in India. High-performing interns may also be considered for full-time roles, with an estimated CTC of INR 3 LPA post-internship. 3. Real-World Projects and Mentorship Interns will work on live projects in digital transformation, cloud computing, cybersecurity, and business intelligence. You'll apply your classroom knowledge to solve real business challenges, guided by experts who are shaping the future of data analytics. Responsibilities - Design and Implement Analytics Solutions: Use Python and Power BI to develop impactful analytics solutions. - ETL Processes: Participate in data extraction, transformation, and loading using Python. - Dashboard Creation: Build interactive dashboards and reports in Power BI for data-driven decision-making. - Data Analysis: Uncover insights, trends, and patterns within large datasets. - Collaboration: Work with cross-functional teams to gather requirements and deliver tailored analytics solutions. - Data Quality: Ensure data integrity through validation and cleansing techniques. - Documentation: Maintain analytics workflows and findings for knowledge sharing and best practices. - Continuous Learning: Stay updated with the latest developments in data analytics and visualization technologies. Technical Skills You'll Develop - Proficiency in Python for data analysis and automation - Experience with Power BI for dashboarding and visualization - Familiarity with SQL and relational databases - Understanding of the Software Development Life Cycle (SDLC) - Exposure to cloud computing, cybersecurity, and business intelligence projects

Ernst & Young (EY) is a global powerhouse in assurance, consulting, strategy, and transactions, with a presence in over 150 countries.