Job Overview
Rapido is actively hiring for the role of Data Science Intern. This is an exciting career growth opportunity for Students and Recent Graduates (B.E / B.Tech / B.Sc) to work with India’s largest bike taxi aggregator in Bangalore. If you have strong fundamentals in Python, SQL, and Statistics, check the details below and apply immediately.
Role: Data Science Intern Location: Bangalore, Karnataka Duration: 6 Months Qualification: B.E / B.Tech / B.Sc (CS, Stats, or related) Experience: Freshers / Students / Recent Grads Key Skills: Python, SQL, Machine Learning, Data Visualization Job Type: Internship
Job Description
For the Rapido Internship 2026, the team is looking for a curious mind eager to learn. You will be immersed in real-world data problems, assisting the team in deriving insights that improve the efficiency of the platform. You will work on large datasets to perform data cleaning, analysis, and visualization. This role provides hands-on experience in building and validating basic Machine Learning (ML) models and collaborating with cross-functional teams to implement data-driven solutions.
Responsibilities
As a Data Science Intern at Rapido, your key responsibilities will include:
- Data Analysis: Performing data cleaning, exploratory analysis, and visualization to understand trends.
- Model Building: Building and validating basic ML models to solve business problems.
- Big Data: Working with large datasets to derive actionable insights for operations and product teams.
- Collaboration: Collaborating with engineers and product managers to understand requirements.
- Learning: Continuously learning new statistical methods and tools to improve model performance.
Skills and Eligibility Criteria
To be eligible for Rapido Internship 2026, candidates must meet the following criteria:
- Educational Background: Students or recent graduates in Data Science, Statistics, Computer Science, or related fields.
- Mandatory Technical Skills:
- Strong fundamentals in Python and SQL.
- Solid understanding of Statistics.
- Familiarity with Data Visualization tools/libraries (e.g., Matplotlib, Seaborn).
- Soft Skills:
- Curious mindset and eagerness to learn.
- Strong analytical and problem-solving skills.
Selection Process
The selection process for Rapido typically includes:
- Resume Screening: Focus on academic projects, Python/SQL skills, and relevant coursework.
- Online Assessment: Coding test (Python/SQL) and Aptitude (Statistics/Probability).
- Technical Interview: Deep dive into ML algorithms, Data Cleaning techniques, and case studies.
- Managerial Round: Discussion on availability, interest in the mobility sector, and cultural fit.