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Godrej & Boyce

Data Science Intern

InternshipIn OfficeMumbai, Maharashtra3 months1 openingImmediate / Rolling
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About this internship

Kickstart your career at Godrej & Boyce in Mumbai as a Data Science Intern. This is a practical, project-based internship where you will be building models and drawing insights from data under the mentorship of senior team members, gaining exposure to real business challenges and industry-standard…

Skills you'll use

PythonSQLMachine LearningStatisticsPandasNumPyData VisualizationScikit-learnFeature EngineeringCommunication

What you'll do

  • Collect, clean and prepare datasets
  • Build, train and evaluate ML models
  • Perform EDA and statistical testing
  • Visualise findings and present insights
  • Document experiments and results
  • Document work clearly and act on feedback

Who can apply

  • Pursuing or recently completed a relevant degree/diploma
  • Foundational knowledge of Python, SQL, Machine Learning, Statistics
  • Strong communication skills and a proactive attitude
  • Ability to work in a team and meet deadlines
  • Based in or open to working from Mumbai

Perks & benefits

Internship Certificate on completionLetter of Recommendation for strong performersHands-on mentorship from experienced professionalsReal-world, portfolio-worthy project experiencePre-Placement Offer (PPO) opportunity based on performanceFlexible, learning-focused work environment

Interview & selection process

3 rounds — typical selection flow for this role:

  1. 1Resume & profile screening by Godrej & Boyce's recruitment team.
  2. 2Practical / case round relevant to the Data Science Intern role.
  3. 3Final discussion with the hiring manager on your approach, learnings and fit.

About Godrej & Boyce

About Godrej & Boyce Godrej & Boyce operates in the manufacturing & engineering space and actively invests in early-career talent across Mumbai. Its culture is practical and learning-oriented: mentorship, honest feedback and real project work are part of everyday life, and interns are treated as…
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