Data Science – Internship (WFH)
AI4SEE PRIVATE LIMITED is accepting applications for a paid, work-from-home Data Science internship. The listing was posted on 7 October 2026 and offers a six-month assignment with a monthly stipend of ₹3,000–7,000. It is aimed at candidates with relevant technical skills who are in the final semester of graduation. Applications close on 6 November 2026.
The work covers exploratory data analysis, data preparation, machine-learning model development, evaluation and documentation. This is not an advertisement for a permanent data-scientist position. Applicants should be able to commit to the full internship period and assess the stipend against their own circumstances before applying.
Internship overview
- Employer: AI4SEE PRIVATE LIMITED
- Role: Data Science internship
- Work mode: Work from home
- Duration: Six months
- Stipend: ₹3,000–7,000 per month
- Openings: 10
- Start: Immediately; eligible joining window is 7 October–11 November 2026
- Application deadline: 6 November 2026
Work from home, with a Bangalore-area preference
The advertised work mode is work from home. Separately, the employer says candidates near BTM Layout, Bangalore will be preferred. These are two different pieces of information: the location preference should not be silently converted into an in-office requirement. Candidates based elsewhere can read the full listing and consider applying, but should understand that the stated local preference may affect the employer’s assessment.
The page does not provide a detailed attendance arrangement or explain whether occasional meetings are expected. If shortlisted, confirm the reporting schedule and any travel expectations with the employer. Do not assume that a flexible-hours perk means there are no coordination requirements or that six months can be shortened.
What the intern will work on
The employer lists five areas of responsibility. The first is exploratory data analysis, often called EDA. This involves understanding the available data before drawing conclusions or building models. The second is data collection and preprocessing. The third is building and evaluating machine-learning models, followed by analysing and optimising those models. The final responsibility is documentation.
For applicants, that combination makes it useful to show an end-to-end project rather than only a model’s final accuracy score. A clear project explanation can describe the question being studied, how the data was prepared, what evaluation approach was used and what limitations remain. This is application-preparation advice, not an additional task or qualification imposed by AI4SEE.
Skills listed by the employer
The advertised skills include Python, algorithms, mathematics, statistics, data analytics, data science, machine learning, deep learning, artificial intelligence and natural language processing. The listing does not specify an assessment syllabus or require a particular paid certification. It also does not name a minimum academic percentage, an age limit or a specific graduation branch.
Relevant projects can help demonstrate how these skills connect in practice. For example, a candidate may explain a data-cleaning decision, compare suitable evaluation measures or describe why a simpler model was chosen over a more complex one. Use only work you can discuss confidently. Do not claim experience with every listed area simply because those terms appear in the advertisement.
Who can apply
Applicants must be available for the work-from-home internship, be able to start between 7 October and 11 November 2026, commit to six months and have relevant skills and interests. Under its additional requirements, the employer specifies candidates in the final semester of graduation. It also states that women wanting to start or restart their career can apply.
The final-semester condition is important. A generally relevant course or an interest in data science is not enough to assume that every student or graduate meets the stated requirements. Check your current study stage and joining availability before submitting an application. If your situation is unusual, seek clarification from the employer rather than relying on an unstated exception.
Stipend and advertised perks
The stipend is ₹3,000–7,000 per month. The live listing does not explain how the amount within that range is decided and does not provide a separate fixed-versus-incentive breakdown. Therefore, the top end should not be presented as a guaranteed payment to every selected intern. Confirm the exact amount and payment terms in the written offer.
The advertised perks are a certificate, a letter of recommendation, flexible work hours and a five-day working week. These should be considered alongside the role’s duration and responsibilities. A permanent job offer, placement guarantee, equipment allowance and employer-paid internet reimbursement are not stated benefits of this opening.
How to apply
- Open the exact internship listing using the application link below.
- Read the current eligibility, stipend, duration and deadline before proceeding.
- Prepare an accurate resume showing your graduation stage and relevant technical projects.
- State your earliest joining date and whether you can complete the six-month period.
- Use the listing’s Apply now option and complete any required Internshala application steps.
The application deadline is 6 November 2026, even though the stated joining window extends to 11 November. Do not treat the later joining date as an extension of the application deadline. Save the listing and any correspondence so you can compare the eventual offer with the advertised terms.
Before you accept an offer
Ask about supervision, working hours, payment dates and what deliverables will be expected during the internship. Clarify the Bangalore-area preference if you are applying from another location. These are sensible questions for evaluating a remote internship, not claims that the employer has already published answers to them.
AI4SEE describes its business as technology products and services, including artificial-intelligence consultancy, IT solutions, web and mobile development and cloud-related applications. The internship’s specific duties and written offer should guide your decision rather than assumptions about all of the company’s services.
