Data Scientist Intern

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Stipend:

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About the Company

We are a technology-driven company focused on solving real-world business problems through data, analytics, and AI-driven insights. Our team works across multiple domains, leveraging modern data science tools and techniques to help organizations make smarter, evidence-based decisions.

This internship offers a collaborative and learning-focused environment where you’ll have the chance to apply your analytical skills to meaningful projects and gain practical, hands-on experience.

About the Role

We are seeking a Data Scientist Intern who is passionate about data, analytics, and problem-solving. As part of the data team, you’ll work with structured and unstructured datasets, build models, and generate actionable insights that support business and product decisions.

This is a great opportunity for students or recent graduates who want to strengthen their foundation in data science, machine learning, and data analysis while working on real projects under expert guidance.

Key Responsibilities

• Collect, clean, and preprocess data from diverse sources to ensure data quality and accuracy.
• Perform exploratory data analysis (EDA) to uncover patterns, trends, and insights.
• Develop and test basic predictive models using techniques such as regression, classification, and clustering.
• Create clear and insightful data visualizations and dashboards using tools like Matplotlib, Seaborn, Tableau, or Power BI.
• Write and execute queries in SQL for data extraction and analysis.
• Prepare reports and communicate key findings to stakeholders.
• Collaborate with cross-functional teams and document analytical workflows.
• Support ongoing data initiatives and contribute to data-driven decision-making across projects.

Required Skills and Qualifications

• Proficiency in Python or R for data analysis and manipulation.
• Solid understanding of statistics and probability fundamentals.
• Experience with SQL for querying and working with databases.
• Knowledge of data visualization tools and libraries (Matplotlib, Seaborn, Tableau, or Power BI).
• Familiarity with Excel for data cleaning and reporting.
• Strong analytical mindset and attention to detail.
• Good communication skills to interpret and explain insights effectively.
• Eagerness to learn, experiment, and adapt to new technologies and tools.

Good to Have

• Basic understanding of machine learning algorithms and libraries (e.g., scikit-learn, TensorFlow).
• Familiarity with cloud platforms (AWS, GCP, or Azure).
• Experience with version control systems like Git/GitHub.
• Exposure to data engineering concepts or pipeline design.

What You’ll Gain

• Practical, hands-on experience in data science and analytics.
• Opportunity to work on live data and business use cases.
• Guidance from experienced data scientists and mentors.
• Improved skills in Python, SQL, data visualization, and machine learning.
• Stipend between ₹10,000 – ₹15,000 per month, based on skills and performance.
• A valuable addition to your portfolio that demonstrates real-world impact.

Who Should Apply

This internship is perfect for individuals looking to begin their careers as Data Scientists, Data Analysts, or Machine Learning Engineers. If you’re passionate about data, enjoy solving problems, and want to learn how analytics drives business strategy, this role offers the right mix of mentorship and hands-on learning.