Data Science Internship Program | Teleperformance:-
Teleperformance is hiring candidates for the position of Data Science Intern at its Gurgaon office. This opportunity is suitable for candidates interested in building practical experience in data science, machine learning, artificial intelligence, statistical analysis and data-driven business decision-making
| Job Details | Information |
|---|---|
| Company Name | Teleperformance (TP) |
| Job Role | Data Science Intern |
| Job Type | Internship |
| Job Location | Gurgaon, Haryana |
| Office Location | TPIN GGN DLF 10B |
| Experience | Approximately 1β2 years of relevant practical experience mentioned |
| Qualification | Professional or university degree in a relevant field |
| Salary/Stipend | Not disclosed |
| Work Mode | Not specified |
| Requisition ID | REQ-2026-49441 |
| Application Mode | Online |
| Last Date | Apply as soon as possible |
About Teleperformance
Teleperformance, also known as TP, is a global digital business services company that helps organisations manage and improve their customer and business operations.
The company combines process expertise, technology and human support to deliver digital business services to clients operating across different industries. TP has a global workforce operating across numerous countries and supports customers in hundreds of languages and dialects.
Teleperformance focuses on creating an inclusive workplace where employees receive opportunities to learn, develop their skills and contribute to business success.
Job Description
As a Data Science Intern at Teleperformance, the selected candidate may work with large datasets and help the organisation identify important trends, patterns and business insights.
The role involves using statistical methods, data science principles, artificial intelligence and machine learning techniques to address practical business challenges.
Candidates may also contribute to improving existing data processes and developing solutions that support informed decision-making across the organisation.
Roles and Responsibilities
The responsibilities of the Data Science Intern may include:
- Creating data-mining architectures, models and protocols.
- Developing statistical reports and data-analysis methodologies.
- Analysing large datasets to identify trends, patterns and meaningful insights.
- Applying data analysis across business areas such as marketing, advertising, market economics, supply chain and scientific research.
- Researching existing and emerging data science concepts, techniques and methodologies.
- Using data science findings to support business decisions.
- Applying machine learning and artificial intelligence techniques to solve business problems.
- Converting complex data into actionable business insights.
- Following established data science standards, processes and frameworks.
- Working independently within defined project requirements and timelines.
- Developing relevant solutions based on business and data requirements.
- Sharing knowledge and recommended practices with team members.
- Continuously improving regular activities, analytical processes and workflows.
- Supporting junior colleagues or contributing to day-to-day team objectives when required.
Eligibility Criteria
Based on the official job description, candidates should preferably meet the following requirements:
- Candidates should possess a professional or university degree in a relevant discipline.
- Applicants should have knowledge of data science, statistical analysis, artificial intelligence or machine learning.
- Approximately one to two years of relevant practical or professional experience is mentioned in the official listing.
- Candidates should be comfortable working independently within established frameworks.
- Applicants should be capable of analysing data and developing appropriate solutions.
- Candidates should have an interest in solving real-world business problems using data.
Relevant Educational Backgrounds
Candidates from the following or related academic backgrounds may find this opportunity relevant:
- B.E./B.Tech in Computer Science, Information Technology, Artificial Intelligence, Data Science or related disciplines
- B.Sc. in Computer Science, Data Science, Statistics or Mathematics
- BCA or MCA
- M.Sc. in Data Science, Computer Science, Mathematics or Statistics
- Other relevant professional or university qualifications
Note: The official notification does not provide a specific list of accepted degrees or graduation years. Candidates should review the official application page before applying.
Skills Required
Candidates may benefit from having knowledge or practical exposure in the following areas:
- Data science fundamentals
- Data mining and data modelling
- Statistical analysis and reporting
- Machine learning techniques
- Artificial intelligence concepts
- Data cleaning and preprocessing
- Exploratory data analysis
- Identifying trends in large datasets
- Translating data into actionable insights
- Problem-solving and analytical thinking
- Business decision support
- Research and continuous learning
Knowledge of commonly used tools such as Python, SQL, Pandas, NumPy, Matplotlib, Power BI, Tableau or machine-learning libraries may be beneficial. However, the official listing does not specifically name these tools as mandatory requirements.
Experience Required
The official job description mentions a knowledge base generally acquired through a relevant professional or university degree, along with approximately one to two years of practical professional experience in the relevant area.
Candidates with internships, academic projects, freelance assignments, certifications or practical data science projects can consider applying if their experience and skills align with the position. The company will make the final eligibility and shortlisting decision.
Job Location
The position is based at:
TPIN GGN DLF 10B, Gurgaon, Haryana
Candidates should be willing to work from the assigned Gurgaon location unless the company provides different instructions during the recruitment process.
Salary or Internship Stipend
Teleperformance has not disclosed the salary or internship stipend for this position in the official job notification.
The final compensation, benefits and other employment terms may be communicated to shortlisted candidates during the interview or offer process.
Possible Selection Process
Teleperformance has not specified the exact selection process for this internship. Depending on the companyβs requirements, the recruitment process may include:
- Online application screening
- Resume shortlisting
- Technical assessment or assignment
- Technical interview
- Managerial or HR interview
- Document verification
- Final selection
The actual process may vary, and only shortlisted candidates may receive further communication from the recruitment team.
Documents to Keep Ready
Candidates should keep the following documents available while applying:
- Updated resume
- Recent passport-size photograph
- Government-issued identity proof
- Educational certificates and mark sheets
- Internship or experience certificates, if applicable
- Data science project portfolio or GitHub profile, if available
- Relevant course and certification documents
How to Apply for Teleperformance Data Science Internship 2026
Follow these steps to submit your application:
- Open the official Teleperformance application link given at the end of this post.
- Read the complete job description and eligibility information carefully.
- Click on the Apply button.
- Sign in to an existing Workday account or create a new account.
- Enter your personal, educational and professional details.
- Upload an updated, role-specific resume.
- Review all the information entered in the application.
- Submit the application and save the confirmation for future reference.
Important Instructions for Applicants
- Apply only through the official Teleperformance careers portal.
- Ensure that your resume highlights relevant data science, machine learning, AI and analytics projects.
- Mention the tools and technologies you have genuinely used.
- Add links to your GitHub profile, portfolio or project demonstrations if available.
- Check all application details carefully before submitting.
- Apply as soon as possible because the company has not announced a closing date.
- Teleperformance has not disclosed an application fee for this opportunity.
- Avoid sharing personal or banking information with unofficial recruiters.
Why Should You Apply?
This internship can provide candidates with exposure to real-world datasets and business problems. It may help applicants improve their knowledge of data analysis, statistical reporting, machine learning and AI-based problem-solving.
Working with an established global organisation can also help candidates strengthen their professional experience, resume and understanding of how data science supports business decisions.
Frequently Asked Questions
What is the role offered by Teleperformance?
Teleperformance is hiring for the position of Data Science Intern.
Where is the internship located?
The position is located at TPIN GGN DLF 10B in Gurgaon, Haryana.
Are freshers eligible to apply?
The official listing mentions approximately one to two years of practical professional experience. Candidates with relevant internships, academic projects or practical experience may still review the requirements and apply, but Teleperformance will make the final eligibility decision.
What qualification is required?
The listing mentions knowledge generally acquired through a professional or university degree. It does not provide a specific list of eligible degrees.
Is this a work-from-home internship?
The official notification does not mention a remote or work-from-home arrangement. Candidates should currently consider it a Gurgaon-based opportunity unless informed otherwise by the company.
What is the stipend for the internship?
The stipend or salary has not been disclosed in the official job notification.
Is there an application fee?
No application fee is mentioned on the official careers page.
What is the last date to apply?
Teleperformance has not announced a specific closing date. Interested candidates should submit their applications as early as possible.
Important Note
The information above is based on the official Teleperformance job listing available when this post was prepared. Job availability, eligibility requirements and recruitment conditions may be changed or withdrawn by the company at any time. Candidates should verify every detail on the official careers page before submitting their applications.
Apply Link
Interested and eligible candidates can apply through the official Teleperformance careers portal using the link below:
