Data Science Intern

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Skills you'll use

What you'll do

• Collect, clean and prepare structured and unstructured datasets for analysis
• Perform exploratory data analysis (EDA) and statistical hypothesis testing
• Build, train, tune and evaluate machine-learning models
• Engineer meaningful features and validate model performance
• Visualise findings and present data-driven recommendations to stakeholders
• Document experiments, assumptions, code and results reproducibly
• Document work clearly and act on feedback

Who can apply

• Pursuing or recently completed a degree in CS/IT/Statistics/Maths/Data Science or related
• Foundational knowledge of Python, Machine Learning, Statistics, SQL
• Strong analytical thinking, communication and a proactive attitude
• Ability to work in a team and meet deadlines
• Based in or open to working from Bengaluru

Perks & benefits

Interview & selection process

3 rounds — typical selection flow for this role:

1. 1The selection process for the Data Science Intern at Astrome Technologies is structured, merit-based and typically involves 3 evaluation rounds followed by an HR discussion (about 4 stages in total): Round 1: Online Application & Resume Screening — apply through the verified link on this page; profiles are shortlisted on fundamentals and fit Round 2: Online Assessment / Aptitude — a test covering statistics, SQL, Python and basic data science concepts Round 3: Technical Interview 1 — core data-science fundamentals: statistics, Python, Machine Learning, Statistics and problem-solving Round 4: HR Discussion — role expectations, stipend, start date and offer The process is designed to assess your fundamentals, problem-solving ability and communication rather than rote knowledge. There are no charges at any stage. Shortlisted candidates are contacted through the official careers channel after they apply via the link on this page.

About Astrome Technologies

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