EY Careers 2024 For Data n’ Analytics | Apply Now

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EY Careers 2024 for its Data n’ Analytics, EY Drive is organizing Off Campus Drive for candidates in Any Batch. In order to apply, candidates should have degree in Bachelors Degree in CS or related field. If you are interested, Please apply as soon as possible.

Company Name: EY

Role: Data n’ Analytics

Location: Bangalore

Experience: Freshers

Qualification: Bachelors Degree in CS or related field

Batch: Any Batch

Job Type: Full Time

Salary: 4-11.3LPA(Expected)

EY Careers 2024

EY-Strategy and Transactions (SaT)– DnA Data-Science :

EY’s Data n’ Analytics team is a multi-disciplinary technology team delivering client projects and solutions across Data Management, Data Science, AI, Advanced Analytics, Visualization, Business Analytics and Automation. The assignments cover a wide range of countries and industry sectors.

The opportunity :

  • We’re looking for an employee with knowledge in Data Science, strong understanding in Machine Learning; Python Programming and responsible for developing solutions applying Machine learning.


  • 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.

Skills and attributes for success :

  • Knowledge of Python programming language
  • Well versed with data structure algorithm, 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 skill
  • Team player, open, pleasure to work with and positive in a group dynamic.


  • 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.

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