Job Details

Description
Data Science Intern

About the Role

We are looking for a motivated and analytical **Data Science Intern** to join our team. The intern will work on real-world data science and data engineering problems, gaining hands-on experience in data analysis, data quality, machine learning concepts, and AI-assisted development.

The ideal candidate should have a strong foundation in **Python, statistics, data analysis, and machine learning**, along with a curiosity to understand business problems and translate them into data-driven solutions.

Key Responsibilities
- Analyze and explore large datasets to identify patterns, trends, anomalies, and data quality issues.
- Perform data preprocessing, cleaning, transformation, and feature engineering.
- Develop and evaluate statistical and machine learning models under the guidance of senior team members.
- Support the development of data quality and data scoring solutions.
- Work with structured and semi-structured data from multiple sources.
- Create scripts and utilities for data analysis and validation.




- Assist in defining data benchmarks, metrics, and validation criteria.
- Participate in experimentation and evaluation of AI/ML approaches.
- Collaborate with Data Scientists, Software Engineers, and Product teams to understand requirements and solve real-world problems.
- Document analysis, findings, methodologies, and results clearly.
- Leverage up-to-date AI-assisted development tools responsibly to improve productivity and accelerate experimentation.
Required Qualifications
- Pursuing or recently completed a degree in **Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field**.
- programming knowledge in **Python**.
- Good understanding of:
- Statistics and probability
- Data structures and algorithms
- Data analysis and visualization
- Basic machine learning concepts
- Experience with libraries such as **Pandas, NumPy, and Scikit-learn**.
- Basic unde

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