Data Scientist

Goodfit; Dadri; On-site; INR 150,000 - 270,000; Full time

Job summary

Goodfit in India is seeking a motivated Data Scientist Intern to join our analytics team. You will work on real-world data problems, build models, and gain hands-on experience in data analysis, machine learning, and business insights.

Collaborate with data scientists and business teams, perform data preprocessing, EDA, and create visualizations. Proficiency with Python, SQL, or R is valued, as is the ability to document results and learn quickly.

Qualifications

• Currently enrolled in or recently graduated with a degree in data science, statistics, computer science or a related field.
• Fundamental understanding of ML concepts and model evaluation.

Responsibilities

• Assist in collecting, cleaning, and preprocessing structured and unstructured data
• Perform exploratory data analysis (EDA) to uncover patterns and trends
• Support development and testing of machine learning models
• Work with large datasets using tools such as Python, SQL, or R
• Create data visualizations and dashboards to communicate insights
• Collaborate with data scientists and business teams on projects
• Document findings, methodologies, and results
• Stay updated with latest trends in data science and AI

Skills

Data cleaning

Exploratory data analysis

Machine learning basics

Data visualization

Team collaboration

Tools

Python

SQL

R

Job description

We are looking for a motivated and curious Data Scientist Intern to join our analytics team. The intern will work on real-world data problems, assist in building models, and gain hands-on experience in data analysis, machine learning, and business insights. This role is ideal for students or fresh graduates looking to build a career in data science.

Key Responsibilities

• Assist in collecting, cleaning, and preprocessing structured and unstructured data
• Perform exploratory data analysis (EDA) to uncover patterns and trends
• Support development and testing of machine learning models
• Work with large datasets using tools such as Python, SQL, or R
• Create data visualizations and dashboards to communicate insights
• Collaborate with data scientists and business teams on projects
• Document findings, methodologies, and results
• Stay updated with latest trends in data science and AI