applicants

6 Months

Remote

internship for industrial training 

We are looking for passionate and detail-oriented Data Science Interns to join our growing analytics team.

This internship is designed to provide hands-on experience in applying data analysis, machine learning, and predictive modeling to solve real-world HR and recruitment challenges.

You will work on projects such as recruitment data analytics, resume parsing using NLP, candidate-job matching algorithms, attrition prediction, and building interactive dashboards to support strategic decision-making.

Key Responsibilities

• Collect, clean, and preprocess data from HR, recruitment, and marketing databases.
• Perform Exploratory Data Analysis (EDA) to identify trends, patterns, and insights.
• Develop and evaluate machine learning models for prediction and classification tasks (e.g., candidate success, attrition, job matching).
• Implement Natural Language Processing (NLP) techniques for resume parsing and keyword extraction.
• Build data visualization dashboards using Power BI or Tableau to communicate insights.
• Support the automation of data workflows and recruitment analytics reports.
• Collaborate with the software and HR teams to ensure data accuracy and integrity.
• Document analytical findings and present results during review meetings.
• Participate in weekly progress discussions and monthly milestone reviews.
• Complete a capstone project related to recruitment or HR analytics during the final phase of the internship.

Key Learning Outcomes

By the end of the internship, the intern will be able to:

• Apply core data science concepts to real-world recruitment data.
• Perform end-to-end data analysis, from data cleaning to model deployment.
• Use machine learning and predictive analytics to support business decisions.
• Create interactive dashboards and data reports for management.
• Gain experience working in a professional environment with cross-functional teams.

Skills and Qualifications

Education:

• Currently pursuing a Bachelor’s Degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

Required Skills:

• Strong analytical and problem-solving skills.
• Knowledge of Python (Pandas, NumPy, Scikit-learn) and SQL.
• Familiarity with data visualization tools (Power BI, Tableau, or Matplotlib).
• Understanding of machine learning and statistical modeling concepts.
• Basic understanding of NLP and text data analysis.
• Good communication and documentation skills.
• Ability to work independently and meet deadlines.

Preferred Skills (Optional):

• Experience with Git, Google Colab, or Jupyter Notebooks.
• Exposure to HR, recruitment, or marketing analytics projects.
• Knowledge of Power Query, Excel automation, or data pipelines.