EY (Ernst & Young) is offering an internship opportunity for the role of SaT-DnA-Intern at their Bengaluru location. Candidates must have a bachelor’s degree in computer science or a related field. The ideal intern should have knowledge of Python programming and be well-versed in data structures and algorithms. Familiarity with frameworks related to Data Science, Machine Learning, LLM, NLP, Deep Learning, Scikit-learn, and TensorFlow is also required. This internship provides a valuable opportunity to gain hands-on experience and develop expertise in cutting-edge technologies within a leading global professional services firm.
Company Name: Ey(Ernst & Young)
Job Role: SaT-DnA-Intern
Job Type: Internship
Education Required: Bachelor’s degree in computer science or a related field
Skills Required: Knowledge of Python programming language
Well-versed with data structure algorithms, Familiarity with different frameworks related to Data Science, ML, LLM, NLP, Deep Learning, Scikit-learn, TensorFlow, or similar.
Job Location: Bengaluru
Role and Responsibilities:
- Assist in collecting, cleaning, and preprocessing data from various sources to ensure data quality and integrity.
- Support the development and validation of predictive models using machine learning algorithms.
- Work closely with cross-functional teams, including business analysts, product managers, and IT professionals to understand business requirements and deliver solutions.
- Reporting: Prepare reports and presentations to summarize findings and recommendations.
Required Skills and Qualifications:
- Knowledge of Python programming language.
- Well-versed with data structure algorithms, Familiarity with different frameworks related to Data Science, ML, LLM, NLP, Deep Learning, Scikit-learn, TensorFlow, or similar.
- Understanding of Software development principle.
- Strong analytical and problem-solving skills with attention to detail.
- Good interpersonal skills and excellent written and verbal communication skills
- Team player, open, a pleasure to work with, and positive in a group dynamic.
- Responsibilities, Qualifications, Certifications.
- Bachelor’s degree in computer science or a related field.
- Hands-on experience through academic projects, internships, or personal projects related to data analysis and machine learning.
- Proficient in SQL, Python, and R.
- Any certification in AI/ML is a plus.
