AI/ML Data Analyst Intern
TrustGrid™
This job at a glance
- Who can apply
- Freshers and up to 1 year
- Must know
- System designMachine learningData analysisPythonSeleniumPandas
- Work
- On-site in Bengaluru · internship
- Pay
- Not stated by the employer.
- Skill demand
- Data analysis58%Python29%Machine learning6%of 31 similar fresher jobs posted in India this week
- Listed
- 6 Nov 2026 · still open
Sign in free to see which of these skills your resume already shows.
About the Role
TrustGrid is building the infrastructure for a more trusted digital world, focusing on secure, decentralized, privacy-first, and interoperable digital infrastructure across identity, verifiable credentials, distributed systems, and digital experiences.
This is a 3-6 month, on-site internship position in Bengaluru, Karnataka, India.
We are looking for an AI/ML Data Analyst Intern to support our AI/ML initiatives through regional and global data collection, web scraping, data cleaning, annotation, and dataset preparation. You will be responsible for sourcing and processing raw data, ensuring data quality, and delivering structured, labelled datasets ready for machine learning applications.
Key Responsibilities
- Collect datasets from regional and global sources using web scraping and other authorized methods.
- Clean, preprocess, and standardize raw data.
- Identify and remove duplicate, incomplete, or inconsistent records.
- Perform data annotation, labelling, and quality validation.
- Organize datasets using structured folders and naming conventions.
- Prepare datasets in JSON, JSONL, CSV, and other required formats.
- Maintain dataset documentation and source references.
- Prepare training, validation, and testing datasets.
- Deliver accurate, structured, and model-ready datasets to engineering teams.
Requirements & Tech Stack
- Basic to intermediate knowledge of Python.
- Familiarity with web scraping using BeautifulSoup, Requests, Selenium, or Playwright.
- Knowledge of Pandas, NumPy, JSON, and CSV.
Qualifications
- Pursuing or recently completed a degree in Computer Science, Data Science, AI/ML, or a related field.
- Strong analytical skills and attention to detail.