Looking for a work-from-home internship where you can use Python, explore data, and learn about machine learning? The Data Science Internship Work From Home 2026 opportunity listed by AKS Tech may be worth exploring if you want practical experience in data analysis, predictive modelling, and AI-related projects.
According to the available internship listing, this is a remote opportunity with a duration of three months and an advertised monthly stipend of ₹25,000–₹30,000. Four openings are listed, and the application deadline is 23 October 2026.
If you enjoy working with data and solving problems, this internship may help you build practical skills beyond classroom learning. Read the complete details below, including responsibilities, useful programming skills, eligibility information, application steps, and important checks before accepting an offer.
Company: AKS Tech
Position: Data Science Intern
Work Mode: Work From Home / Remote
Internship Duration: 3 Months
Advertised Stipend: ₹25,000–₹30,000 per month
Openings: 4 advertised positions
Application Deadline: 23 October 2026
Application Mode: Online through Internshala
Relevant Skills: Python, SQL, Data Analytics, Machine Learning, NLP and Deep Learning
Before applying: Check that the application is still open and confirm the advertised stipend, exact responsibilities, working hours and eligibility on the live listing. The stipend range is an advertised amount, not a guarantee that every selected candidate will receive the maximum amount.
About AKS Tech Data Science Internship 2026
AKS Tech has advertised a remote Data Science internship for candidates interested in using data to solve practical problems. The work described in the listing includes analysing datasets, developing predictive models, exploring machine learning techniques and supporting data-driven decisions.
Data science combines several skills, including programming, statistics, data analysis and problem-solving. In a practical project, the goal is not simply to run code or build a model. You must understand the information available, identify a useful question, analyse the data carefully and explain what the results mean.
This internship is advertised for a three-month period. Candidates should be ready to commit to the full duration and clarify how the remote work schedule will fit with college, studies or other responsibilities.
Internship Overview
| Organisation | AKS Tech |
| Job Role | Data Science Intern |
| Work Arrangement | Remote / Work From Home |
| Duration | 3 Months |
| Advertised Monthly Stipend | ₹25,000–₹30,000 |
| Advertised Openings | 4 |
| Last Date to Apply | 23 October 2026 |
| Application Platform | Internshala listing |
These details are based on the available internship advertisement. Application status and terms can change, so check the listing before submitting your application.
What Will You Do as a Data Science Intern?
The advertised responsibilities cover several parts of the data science process. The exact assignment may depend on the project you are allocated to.
1. Analyse Data and Identify Patterns
You may work with datasets to understand trends, identify relationships and answer practical questions. The first step is to understand what the data represents and whether it is suitable for the problem being studied.
2. Build Predictive Models
The listing mentions predictive modelling and machine learning. These techniques use available data to estimate outcomes or recognise patterns. A good model should be tested carefully rather than judged only by how impressive its results appear.
3. Work with Natural Language Processing
Natural Language Processing, or NLP, helps computers process and analyse text. Depending on the assignment, you may learn how text data can be cleaned, organised and examined to find useful information.
4. Explore Deep Learning Concepts
The advertisement also mentions deep-learning algorithms. This area involves machine learning methods that use layered neural networks. Candidates should be honest about their current level of knowledge and confirm the technical expectations with the recruiter.
5. Explain Data Findings
Data analysis is useful only when its findings can be understood. You may need to document your approach, explain important observations and communicate results to team members who are working on the same problem.
Eligibility Criteria
The available advertisement focuses on relevant skills, interest in data science, and the ability to commit to the remote internship. It does not specify a universal minimum academic percentage, age limit or particular graduation batch.
Who May Consider Applying?
- Students interested in data science, data analytics or machine learning.
- Recent graduates who want practical experience with data-related projects.
- Candidates who have learned Python or SQL through coursework or personal projects.
- Applicants who understand basic statistics and logical problem-solving.
- Candidates who can work remotely and commit to the full three-month duration.
These are general indicators of relevant preparation, not a guarantee of eligibility. Review the live application form and all requirements stated by the employer before applying.
Required Skills for the Internship
Python Programming
Python is commonly used for data processing, analysis and machine learning. Candidates should practise variables, loops, functions, lists, dictionaries and basic file handling. If you already know Python, try using it to analyse a small dataset.
SQL and Data Handling
SQL is useful for retrieving and organising information stored in databases. Practise SELECT queries, filtering, grouping, sorting and basic joins. You should also understand how to identify missing values and duplicate records.
Statistics and Analytical Thinking
Learn basic concepts such as mean, median, percentages, distributions and relationships between variables. You should be able to explain what a result shows and what conclusions cannot be drawn from it.
Machine Learning Fundamentals
Understand the basic purpose of supervised and unsupervised learning, training and testing data, model evaluation and overfitting. You do not need to claim expertise in every algorithm mentioned in an advertisement.
Communication and Documentation
Good data professionals explain their findings clearly. Practise writing a short summary of what you analysed, how you approached the problem, what you discovered and what limitations remain.
Stipend and Benefits
The internship advertisement lists a monthly stipend of ₹25,000–₹30,000 for the three-month remote internship. The available information does not provide a detailed payment schedule or explain whether the amount depends on performance or other conditions.
Before accepting an offer, ask for written confirmation of the exact monthly amount, payment dates, working hours and any conditions attached to payment.
The advertisement also mentions the possibility of a full-time role after the internship. This should be treated as a potential outcome, not a guaranteed job offer. Ask the employer about the conversion process if this is important to you.
How to Apply for the Data Science Internship
Follow these steps to apply through the listing:
- Open the Apply Online link provided in this article.
- Confirm the organisation name, Data Science Intern role, stipend range and application deadline.
- Read the complete job description and check the current application status.
- Sign in to your Internshala account or register if needed.
- Update your profile with accurate educational information and relevant technical skills.
- Mention any genuine Python, SQL, data analysis or machine learning projects you have completed.
- Complete the application questions carefully and submit the form.
- Save the application confirmation and monitor your registered email for updates.
Apply before 23 October 2026 if the listing remains active. Do not wait until the final hours, since the employer or platform may change the application status.
Documents and Information to Keep Ready
Prepare the information that a typical internship application may request. The final requirements will depend on the live listing.
- An updated resume.
- Your course, college and academic details.
- A working email address and mobile number.
- Details of any relevant Python, SQL or data analysis projects.
- Links to a GitHub portfolio or project notebook, if you have one.
- Any additional information explicitly requested in the application form.
Only share documents through the legitimate application platform or an authorised recruitment channel. Never share passwords or one-time passwords with someone claiming to arrange an internship.
How to Prepare Before Applying
Create a Small Data Analysis Project
Choose a public dataset and write down one clear question you want to answer. Clean the data, explain your steps, create a useful chart and write a short conclusion. This helps demonstrate how you think, even if you do not have previous work experience.
Practise Basic Python and SQL
Try small exercises that involve filtering records, calculating summaries, handling missing values and joining tables. Focus on understanding the solution rather than memorising code without knowing what it does.
Understand Model Evaluation
If you have worked with machine learning, learn how to separate training and test data and why the evaluation metric matters. Be ready to discuss what your model can and cannot tell you.
Be Honest About Your Experience
You do not need to describe a classroom project as professional experience. Clearly explain which tools you have used independently, which topics you have studied and what you are still learning.
Important Things to Check Before Joining
A remote internship can be convenient, but it is still important to understand the working arrangement. Before accepting an offer, confirm the following details in writing:
- The exact fixed monthly stipend and whether any part is conditional.
- The expected daily hours and whether meetings require fixed availability.
- The name and contact details of the authorised supervisor.
- The actual project duties and the feedback or mentoring provided.
- The conditions for receiving any certificate or recommendation letter.
- Whether a possible full-time conversion is conditional and how it is decided.
Never pay a placement fee or deposit to secure a job or internship. If an offer differs from the listing, clarify the terms through the application platform before sharing sensitive information or accepting the position.
Frequently Asked Questions (FAQs)
1. Is the Data Science Internship Work From Home 2026 open to applicants in India?
The available advertisement describes the role as work from home. Check the live listing to confirm eligible locations, work arrangements and any additional conditions before applying.
2. What is the advertised stipend?
The listing advertises ₹25,000–₹30,000 per month. Confirm the exact amount and payment conditions in writing before accepting an offer.
3. What is the duration of the internship?
The advertised duration is three months. Candidates should confirm the expected start date and their required availability with the employer.
4. What is the last date to apply?
The available listing gives 23 October 2026 as the application deadline. Check the live application page to confirm that the vacancy is still open.
5. Which programming languages are useful?
Python is directly relevant to the advertised work. SQL, statistics and knowledge of machine learning are also listed as useful skills for this role.
6. Is a specific degree or minimum percentage required?
The available advertisement does not specify a universal degree requirement or minimum academic percentage. Follow the exact eligibility conditions shown on the live application page.
7. Can students apply without previous internship experience?
The listing focuses on relevant skills and interests rather than a stated requirement for previous internship experience. Candidates should present their actual coursework, projects and technical abilities honestly.
8. Does the internship guarantee a full-time job?
No. The listing mentions a possible full-time opportunity, but conversion is conditional and should not be treated as guaranteed employment.
Final Words
The AKS Tech Data Science Internship 2026 may interest candidates who want to gain remote project experience in data analysis, predictive modelling and machine learning. The advertised opportunity lasts three months, lists four openings and offers a monthly stipend range of ₹25,000–₹30,000.
Before submitting your application, check the latest listing, confirm that applications are open, and review the complete compensation and work requirements. Apply through the platform linked above and keep a record of your application.
Disclaimer: AlexaJobs.in is an independent job-information website and is not affiliated with AKS Tech or Internshala. The details in this article are based on an available third-party internship advertisement and may change. Salary, eligibility, deadline and application status should be verified from the live listing before applying. No selection or employment outcome is guaranteed.
Official Application Link
AKS Tech Data Science Internship: Open Application Listing
Internshala: Visit Internship Platform
Apply for Data Science Internship Work From Home 2026
| Apply Online | Click here |
| Internship Duration | 3 Months |
| Monthly Stipend | ₹25,000–₹30,000 (as advertised) |
| Application Deadline | 23 October 2026 |