IT

Company Name:BAJAJ CAPITAL

Job Title:DATA SCIENCE INTERN

Expiry On:27-09-2026

Job Description:

Bajaj Capital is hiring Data Science Intern

Department: Data Science & Artificial Intelligence

Location: Gurugram

Joining Date: Immediate Joiners

Duration: 6 Months

Stipend: ₹10,000 - ₹15,000 Per Month

Key Responsibilities:

• Collect, clean, preprocess, and validate structured and unstructured datasets.
• Perform Exploratory Data Analysis (EDA) to identify trends, patterns, correlations, and anomalies.
• Develop and evaluate Machine Learning models for business use cases.
• Perform feature engineering, feature selection, and model optimization.
• Work with classification, regression, clustering, and other ML techniques as required.
• Evaluate models using appropriate metrics such as Accuracy, Precision, Recall, F1-score, ROC-AUC, RMSE, MAE, etc.
• Create data visualizations and dashboards using tools such as Power BI, Tableau, or Python.
• Write efficient SQL queries for data extraction, transformation, and analysis.
• Work with large datasets using Python/Pandas and database technologies.
• Assist in developing GenAI, LLM, RAG, and AI Agent based solutions where applicable.
• Support model deployment through APIs and cloud-based environments.
• Document data pipelines, experiments, models, assumptions, and results.
• Collaborate with Data Scientists, Data Engineers, AI Engineers, and business stakeholders.
• Contribute to automation of repetitive data and reporting processes.

Skills:

1. Programming & Data:

• Python
• SQL
• Pandas
• NumPy
• Matplotlib/Seaborn
• Jupyter Notebook

2. Machine Learning:

• Scikit-learn
• Regression & Classification
• Feature Engineering
• Model Evaluation
• Hyperparameter Tuning
• Basic understanding of ensemble models such as Random Forest and XGBoost

3. Statistics:

• Descriptive Statistics
• Probability fundamentals
• Correlation
• Hypothesis Testing
• Basic understanding of statistical modeling

4. Visualization:

• Power BI/Tableau
• Python-based visualization

Good to Have:

• Knowledge of Generative AI/LLMs
• LangChain/LangGraph
• RAG architectures
• Vector databases
• Prompt Engineering
• Vertex AI/GCP/AWS/Azure
• FastAPI/Flask
• Git and GitHub
• Basic understanding of MLOps
• Experience with financial services or wealth management datasets.

Qualification:

• Pursuing or recently completed B.Tech/B.E./M.Tech/MCA/M.Sc. in:
  • Computer Science
  • Data Science
  • Artificial Intelligence
  • Electronics & Communication
  • Statistics
  • Mathematics
  • or a related discipline.

Preferred Candidates:

• Strong analytical and problem-solving ability.
• Good understanding of Python and SQL.
• Strong interest in Machine Learning and Artificial Intelligence.
• Ability to work with large and messy datasets.
• Good communication and documentation skills.
• Willingness to learn new technologies and business domains.
• Ability to convert business requirements into analytical problems.
• Strong ownership and attention to detail.

Key Deliverables:

• Data Preparation & EDA
• Feature Engineering
• ML Model Development
• Model Evaluation & Experimentation
• Dashboard & Business Analytics
• Data/Report Automation
• GenAI/RAG/Agentic AI POCs
• Model Documentation & Deployment Support

Internship Outcome: Business Problem → Data → EDA → Feature Engineering → ML Model → Evaluation → Deployment → Monitoring → Business Impact

How to Apply:

To Apply: Click Here

Selection Process:

• Round 1 - Good Fit Score
• Round 2 - Virtual Interview

Note: Only Shortlisted Applicants will be Contacted.