{"id":54369,"date":"2026-09-08T15:26:45","date_gmt":"2026-09-08T09:56:45","guid":{"rendered":"https:\/\/www.foundit.in\/career-advice\/?p=54369"},"modified":"2026-09-08T15:26:46","modified_gmt":"2026-09-08T09:56:46","slug":"infosys-data-science-internship-apply","status":"publish","type":"post","link":"https:\/\/www.foundit.in\/career-advice\/infosys-data-science-internship-apply\/","title":{"rendered":"Infosys Data Science Internship 2026: How to Apply, Eligibility, Roles &amp; Selection Process"},"content":{"rendered":"<div class=\"intro-section\">\n<p>The <b>Infosys Data Science Internship 2026<\/b> offers students practical exposure to data analysis, statistics, and machine learning.<\/p>\n<p>Interns can work with datasets, identify patterns, and support data-driven solutions for business and technology projects.<\/p>\n<p><b>Infosys Data Science Interns<\/b> can collaborate with data scientists, data analysts, software engineers and business teams.<\/p>\n<p>Depending on the project, they can contribute to data preparation, analysis, visualisation and predictive modelling.<\/p>\n<p>The World Economic Forum&rsquo;s Future of Jobs Report 2025 identifies AI and big data as the fastest-growing skills through 2030.<\/p>\n<p>It also reports that 39% of workers&rsquo; existing skill sets are expected to change or become outdated between 2025 and 2030.<\/p>\n<p>Interns can gain practical experience in Python, SQL, statistics, data visualisation, machine learning, and exploratory data analysis.<\/p>\n<p>Some projects can also involve predictive analytics, data modelling, and large datasets.<\/p>\n<div class=\"about-section\">\n<h2>About Infosys Data Science Internship<\/h2>\n<p>Infosys is a global technology services and consulting company that provides digital solutions to organisations across industries.<\/p>\n<p>Its services include cloud computing, artificial intelligence, cybersecurity, software engineering, data, and digital transformation.<\/p>\n<p>Founded in 1981, Infosys has grown into a global technology organisation with more than 328,000 employees.<\/p>\n<p>The company operates across 59 countries and works with clients in different industries and markets.<\/p>\n<p>For fiscal 2026, Infosys reported revenue of ?1,78,650 crore.<\/p>\n<p>Its FY2026 annual report also reported 3,28,594 employees globally.<\/p>\n<p>Infosys has a significant presence in India through its offices and technology centres.<\/p>\n<p>India supports a major part of the company&rsquo;s global technology delivery, consulting and business operations.<\/p>\n<p>Data and analytics are used across Infosys&rsquo; technology services, including artificial intelligence, business intelligence, cloud and digital transformation.<\/p>\n<p>These areas are relevant to data science roles involving analysis, modelling, and data-driven solutions.<\/p>\n<\/div><div class=\"eligibility-section\">\n<h2>Eligibility<\/h2>\n<p>Candidates <b>applying for the Infosys Data Science Internship 2026<\/b> may need to meet requirements such as:<\/p>\n<ul class=\"eligibility-list\" style=\"list-style-type: disc;\">\n<li>Pursuing a bachelor&rsquo;s, Master&rsquo;s or PhD degree in Computer Science, Data Science, Statistics, Mathematics, Economics or a related field.<\/li>\n<li>Understanding basic statistics and probability concepts.<\/li>\n<li>Knowledge of Python, R or another programming language used for data analysis.<\/li>\n<li>Familiarity with SQL and relational databases.<\/li>\n<li>Understanding of data cleaning, transformation, and preparation.<\/li>\n<li>Knowledge of exploratory data analysis and data visualisation.<\/li>\n<li>Familiarity with machine learning concepts such as regression, classification, and clustering.<\/li>\n<li>Experience with tools such as Pandas, NumPy, Matplotlib or similar data analysis libraries.<\/li>\n<li>Basic understanding of datasets, databases, and data management concepts.<\/li>\n<li>Familiarity with Git or other version-control tools.<\/li>\n<li>Strong analytical, logical, and problem-solving skills.<\/li>\n<li>Good written and verbal communication skills and the ability to work with technical and business teams.<\/li>\n<\/ul>\n<\/div><div class=\"roles-section\">\n<h2>Roles &amp; Responsibilities<\/h2>\n<p>A <b>Data Science Intern at Infosys<\/b> may be responsible for:<\/p>\n<ul class=\"roles-list\" style=\"list-style-type: disc;\">\n<li>Collecting and preparing data from relevant sources.<\/li>\n<li>Cleaning datasets and addressing missing or inconsistent information.<\/li>\n<li>Performing exploratory data analysis to identify trends and relationships.<\/li>\n<li>Applying statistical methods to analyse business and technical datasets.<\/li>\n<li>Creating charts and visualisations to communicate findings.<\/li>\n<li>Writing Python, R, or SQL code for data analysis tasks.<\/li>\n<li>Building and testing basic predictive models.<\/li>\n<li>Comparing model results using suitable performance measures.<\/li>\n<li>Supporting feature selection and data transformation activities.<\/li>\n<li>Analysing large datasets to identify useful patterns.<\/li>\n<li>Working with data scientists, engineers, and business teams.<\/li>\n<li>Supporting data-driven solutions for client or internal projects.<\/li>\n<li>Documenting analysis methods, assumptions, and findings.<\/li>\n<li>Preparing reports and presentations based on analysis results.<\/li>\n<li>Presenting technical findings clearly to project teams.<\/li>\n<\/ul>\n<\/div><div class=\"application-section\">\n<h2>Application Process<\/h2>\n<p>Candidates interested in the <b>Infosys Data Science Internship 2026<\/b> can follow these steps:<\/p>\n<ol class=\"application-list\" style=\"list-style-type: decimal;\">\n<li>Visit the official Infosys Careers website and search for Infosys Data Science Internship opportunities.<\/li>\n<li>Review the job description and check the required degree, skills, location, duration, and eligibility criteria.<\/li>\n<li>Prepare a role-specific resume highlighting your education, programming skills, data science knowledge, and relevant experience.<\/li>\n<li>Highlight technical projects involving data analysis, statistics, machine learning, SQL, Python, data visualisation or predictive analytics.<\/li>\n<li>Include relevant GitHub projects, portfolios, certifications, research work, coursework or open-source contributions where applicable.<\/li>\n<li>Submit the application and provide the information and documents requested in the job posting.<\/li>\n<li>Shortlisted candidates may be contacted for assessments, technical evaluations, or interviews, depending on the position.<\/li>\n<li>Technical and behavioural interviews can cover Python, SQL, statistics, data analysis, machine learning, projects, and problem-solving.<\/li>\n<\/ol>\n<\/div><div class=\"selection-section\">\n<h2>Selection Process<\/h2>\n<p>The <b>Infosys Data Science Internship selection process<\/b> may include the following stages:<\/p>\n<ol class=\"selection-list\" style=\"list-style-type: decimal;\">\n<li><b>Application Screening:<\/b> The recruitment team reviews the candidate&rsquo;s education, technical skills, projects, and overall profile.<\/li>\n<li><b>Technical Assessment:<\/b> Candidates can be assessed on programming, SQL, statistics, data analysis, and related concepts.<\/li>\n<li><b>Technical Interviews:<\/b> Interviews can cover Python, statistics, machine learning, databases, and data science concepts.<\/li>\n<li><b>Project Discussion:<\/b> Candidates can discuss previous data science or analytics projects, including their methods, challenges and results.<\/li>\n<li><b>Coding or Problem-Solving Round:<\/b> Candidates can solve programming, SQL, data analysis, or logical problems.<\/li>\n<li><b>Behavioural Interviews:<\/b> The interviewer assesses communication, teamwork, adaptability, and problem-solving abilities.<\/li>\n<li><b>Final Selection:<\/b> Selected candidates receive an internship offer and complete the required onboarding process.<\/li>\n<\/ol>\n<\/div><div class=\"benefits-section\">\n<h2>Benefits &amp; Perks<\/h2>\n<p>Infosys Data Science Interns may receive:<\/p>\n<ul class=\"benefits-list\" style=\"list-style-type: disc;\">\n<li>Internship compensation, depending on the role and location.<\/li>\n<li>Exposure to real-world data science and analytics projects.<\/li>\n<li>Technical guidance from experienced professionals.<\/li>\n<li>Practical experience in data analysis, statistics, and machine learning.<\/li>\n<li>Exposure to Infosys technology services and digital solutions.<\/li>\n<li>Opportunities to work with data scientists, engineers, and business teams.<\/li>\n<li>Experience with relevant programming languages, data tools, and platforms.<\/li>\n<li>Opportunities to improve analytical and problem-solving skills.<\/li>\n<li>Professional development through project work, technical discussions, and presentations.<\/li>\n<li>Networking and exposure to a global technology and consulting environment.<\/li>\n<\/ul>\n<\/div><\/div>\n","protected":false},"excerpt":{"rendered":"<p>The Infosys Data Science Internship [current_year] offers students practical exposure to data analysis, statistics, and machine learning. Interns can work with datasets, identify patterns, and support data-driven solutions for business and technology projects.Infosys Data Science Interns can collaborate with data scientists, data analysts, software engineers and business teams. Depending on the project, they can contribute&#8230;<\/p>\n","protected":false},"author":12,"featured_media":54580,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[120],"tags":[],"class_list":["post-54369","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-internships-volunteering"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/www.foundit.in\/career-advice\/wp-json\/wp\/v2\/posts\/54369","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.foundit.in\/career-advice\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.foundit.in\/career-advice\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.foundit.in\/career-advice\/wp-json\/wp\/v2\/users\/12"}],"replies":[{"embeddable":true,"href":"https:\/\/www.foundit.in\/career-advice\/wp-json\/wp\/v2\/comments?post=54369"}],"version-history":[{"count":1,"href":"https:\/\/www.foundit.in\/career-advice\/wp-json\/wp\/v2\/posts\/54369\/revisions"}],"predecessor-version":[{"id":54581,"href":"https:\/\/www.foundit.in\/career-advice\/wp-json\/wp\/v2\/posts\/54369\/revisions\/54581"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.foundit.in\/career-advice\/wp-json\/wp\/v2\/media\/54580"}],"wp:attachment":[{"href":"https:\/\/www.foundit.in\/career-advice\/wp-json\/wp\/v2\/media?parent=54369"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.foundit.in\/career-advice\/wp-json\/wp\/v2\/categories?post=54369"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.foundit.in\/career-advice\/wp-json\/wp\/v2\/tags?post=54369"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}