Data Science Intern

Training Basket; Dadri; On-site; INR 400,000 - 600,000; Full time

Job summary

Zohorecruit in Dadri, Uttar Pradesh, India seeks a data-focused professional to collect, clean, and analyze data from structured and unstructured sources. You will perform EDA to uncover trends and insights, build basic ML models, and create reports and dashboards using Python libraries and SQL queries.

You will collaborate with analysts and engineers, document methodologies, and support ongoing analytics projects.

Qualifications

• Proficient in Python data stack (Pandas, NumPy).
• Experience in data visualization with Matplotlib/Seaborn.
• Ability to perform EDA and derive insights.

Responsibilities

• Collect, clean, pre process, and analyze structured and unstructured datasets.
• Perform Exploratory Data Analysis (EDA) to identify trends, patterns, and insights.
• Develop and evaluate basic machine learning models.
• Work with Python libraries such as Pandas, NumPy, Matplotlib, Seaborn, and Scikit-learn.
• Write SQL queries to extract and manipulate data.
• Create reports, dashboards, and data visualizations.
• Assist in feature engineering, model training, and performance evaluation.
• Apply statistical techniques to solve business problems.
• Collaborate with data analysts, data scientists, and development teams.
• Document findings, methodologies, and project outcomes.
• Support ongoing data science and analytics projects.

Skills

Python

Pandas

NumPy

Data Visualization

EDA

Scikit-learn

Matplotlib

Seaborn

SQL

Tools

Python libraries

Job description

Collect, clean, pre process, and analyze structured and unstructured datasets.

Perform Exploratory Data Analysis (EDA) to identify trends, patterns, and insights.

Develop and evaluate basic machine learning models.

Work with Python libraries such as Pandas, NumPy, Matplotlib, Seaborn, and Scikit-learn.

Write SQL queries to extract and manipulate data.

Create reports, dashboards, and data visualizations.

Assist in feature engineering, model training, and performance evaluation.

Apply statistical techniques to solve business problems.

Collaborate with data analysts, data scientists, and development teams.

Document findings, methodologies, and project outcomes.

Support ongoing data science and analytics projects.