Data Science Internship
Bengaluru, Karnataka, India · Full Time internship
8 applicants
- Stipend
- Stipend: INR 15,000 – INR 20,000 / month
- Duration
- 6 months
- Start
- Immediately
- Openings
- 2
Candidates must be able to commit full-time to an in-office internship starting between October 11 and November 15, 2026, and be available for the full six-month duration with relevant data science skills and interests.
- Work mode
- In office
- Resume
- Required to apply
About the internship
Internship Overview
This internship involves gathering, cleaning, and analyzing datasets to discover meaningful patterns and insights. Interns will develop Python scripts and SQL queries to handle data processing and examination effectively. You will participate in constructing, testing, and assessing machine learning models, alongside exploring cutting-edge Generative AI techniques and large language models (LLMs) relevant to the domain.
Key experimental activities include prompt engineering, retrieval-augmented generation (RAG), and model evaluation. Clear and thorough documentation of all results and experiments is expected. Collaborative problem solving with engineering teams to meet project needs is also an important component.
Applicant Eligibility
Candidates must commit to a full-time in-office internship, be available to start between October 11 and November 15, 2026, and commit to a six-month term. Demonstrated skills and interest in data science methodologies are required.
Stipend and Benefits
The internship offers a monthly stipend between INR 15,000 and INR 20,000. Benefits include certification upon completion, casual dress code, a five-day workweek, and complimentary snacks and beverages.
Required and Preferred Skills
- Essential skills: Python programming, SQL querying, data analytics, and extensive data cleaning experience.
- Familiarity with pandas and NumPy libraries.
- Foundational knowledge of statistics and machine learning principles.
- Strong communication abilities and problem-solving aptitude.
- Desirable but not mandatory: experience with scikit-learn, TensorFlow or PyTorch frameworks.
- Basic understanding of LLMs, prompt engineering, and retrieval-augmented generation (RAG) methodologies.
- Experience with version control tools such as Git and GitHub.
- Engagement in projects related to data analysis, machine learning, or Generative AI is a plus.
About the Company
Talview leads the market with AI-powered proctoring technologies that transform assessment and certification processes for educational bodies, certification authorities, and IT firms. Their solutions enhance the security and credibility of digital examinations, driven by a strong commitment to innovation and reliability.