Data Analyst Intern – AI/ML

About LokGen AI
LokGen AI builds practical AI for businesses, government, education, healthcare and more. We are a young team, so interns work on real products and client projects from week one.
About the Role
Every good AI system starts with good data. You will clean, explore and explain data, build simple machine-learning models, and turn results into dashboards that clients and our team act on.
Key Responsibilities
Collect, clean and organise data from spreadsheets, databases, APIs and forms.
Explore data to find patterns, trends and quality issues.
Build and test simple ML models: forecasting, classification and clustering.
Create dashboards and reports in Power BI or Excel.
Prepare and label datasets for our AI products and track model accuracy.
Support our AI products and other IT-related work as needed.
Requirements
Education: B.E./B.Tech, M.Tech, MCA, B.Sc./M.Sc. in CS, IT, AI & DS, Statistics, Mathematics or a related field.
Must have: Python (pandas, NumPy), basic SQL, Excel (formulas, pivot tables) and basic statistics.
Good to have: scikit-learn, Power BI or Tableau, Matplotlib/Seaborn, Git, a Kaggle or GitHub project.
Internship Details
Role code: LGAI-INT-DATA
Location: India
Duration: 3–6 months
Work mode: Remote / Hybrid
Stipend: As per company standards
Eligibility: Graduates in CS, IT, AI & DS or related
Selection Process & How to Apply
Apply with your CV and a GitHub, Kaggle or portfolio link.
Take-home task (about 3 hours): clean a sample dataset, answer 5 business questions, build one chart or model.
Technical and culture interview (about 45 minutes, online), followed by the offer letter.
Email careers@lokgenai.com with the subject “Internship – Data Analyst (AI/ML) – [Your Name]”. Include your college, graduation year, GitHub/Kaggle link and preferred start date.
LokGen AI is an equal-opportunity organisation. We welcome applicants of every gender, background and ability, especially candidates from smaller towns and regional-language backgrounds.

Work arrangement
Yes