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 robust 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 understanding of SQL and relational databases.
Robust analytical a

📌 Graduate Intern Bengaluru
🏢 ARCHER
📍 Bengaluru