Data Science Intern

We are seeking a motivated Data Science Intern to join our team and contribute to solving real-world data challenges. In this role, you will engage in collecting, cleaning, and analyzing data, building and evaluating machine learning models, and effectively communicating insights to support business decisions. This position offers hands-on experience with guidance and mentorship from seasoned data scientists, providing an excellent opportunity to develop practical skills in a collaborative environment.

Key Responsibilities

- Collect, clean, and preprocess both structured and unstructured data from various sources to ensure data quality and usability.
- Conduct exploratory data analysis (EDA) to uncover trends, patterns, and anomalies that inform further analysis.
- Develop, train, and assess machine learning models for tasks including classification, regression, and clustering.
- Design and create dashboards and visualizations to clearly present findings to both technical and non-technical stakeholders.
- Write clean, well-documented code and maintain reproducible notebooks to support transparency and collaboration.
- Assist in feature engineering, model validation, and performance tuning to optimize model effectiveness.
- Collaborate closely with data engineers, analysts, and product teams on data-driven projects to achieve business goals.
- Document methodologies, results, and recommendations comprehensively to facilitate knowledge sharing.

Required Qualifications

- Currently pursuing or recently completed a Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
- Proficiency in Python (including libraries such as pandas, NumPy, scikit-learn) or R for data manipulation and modeling.
- Working knowledge of SQL for querying and managing datasets.
- Strong foundation in statistics and probability concepts.
- Familiarity with core machine learning algorithms and principles.
- Experience with data visualization tools such as Matplotlib, Seaborn, Power BI, or Tableau.
- Excellent analytical and problem-solving abilities.
- Effective written and verbal communication skills to articulate complex insights clearly.

Preferred Qualifications and Benefits

- Exposure to deep learning frameworks like TensorFlow or PyTorch.
- Experience using Git/GitHub for version control and Jupyter Notebooks for interactive coding.
- Familiarity with cloud platforms such as AWS, Google Cloud Platform, or Azure.
- Basic understanding of natural language processing (NLP), time series analysis, or big data tools like Apache Spark.
- Participation in academic projects, Kaggle competitions, or a portfolio showcasing practical data science work.

This internship offers a monthly stipend ranging from Rs 25,000 to Rs 35,000. The position requires in-person attendance, providing an immersive learning experience within a dynamic team environment.