{"id":54938,"date":"2026-09-25T17:57:37","date_gmt":"2026-09-25T12:27:37","guid":{"rendered":"https:\/\/www.foundit.in\/career-advice\/?p=54938"},"modified":"2026-09-25T17:57:38","modified_gmt":"2026-09-25T12:27:38","slug":"microsoft-data-science-internship-apply","status":"publish","type":"post","link":"https:\/\/www.foundit.in\/career-advice\/microsoft-data-science-internship-apply\/","title":{"rendered":"Microsoft Data Science Internship 2026: How to Apply, Eligibility, Roles & Selection Process"},"content":{"rendered":"
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The Microsoft Data Science Internship 2026<\/b> can provide students with practical exposure to data analysis, statistical modelling, machine learning, visualisation, and data-driven decision-making.<\/p>\n

Data science has become an important part of modern technology, particularly as organisations increasingly use large datasets to support product development and operational decisions.<\/p>\n

According to Stack Overflow’s 2025 Developer Survey, 84% of respondents use or plan to use AI tools in their development process, highlighting the growing relevance of data and AI skills across technical roles.<\/p>\n

As a Microsoft Data Science intern<\/b>, students may work with structured and unstructured datasets, conduct exploratory analysis, develop statistical or machine learning models, and communicate findings through visualisations and reports.<\/p>\n

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About Microsoft Data Science Internship<\/h2>\n

Microsoft is a global technology company operating across software, cloud computing, artificial intelligence, cybersecurity, productivity applications, developer platforms, and enterprise technology.<\/p>\n

Its portfolio includes Azure, Microsoft 365, Windows, GitHub, and various AI and data services.<\/p>\n

The company uses data and analytics across its products and services to understand user behaviour, improve systems, optimise operations, and support technology development.<\/p>\n

These areas can create opportunities for interns interested in data science, analytics, machine learning, and related disciplines.<\/p>\n

Microsoft reported $281.7 billion in revenue for fiscal year 2025, representing an increase from the previous fiscal year.<\/p>\n

Microsoft Cloud revenue reached $168.9 billion, demonstrating the scale of the company’s cloud technology business.<\/p>\n

As of June 30, 2025, Microsoft had approximately 228,000 full-time employees, including around 80,000 employees working in product research and development.<\/p>\n

Its large technical workforce supports research, software engineering, cloud computing, AI, data, and other technology initiatives.<\/p>\n<\/div>

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Eligibility<\/h2>\n

Candidates applying for the Microsoft Data Science Internship 2026<\/b> may need to meet requirements such as:<\/p>\n

    \n
  • Be pursuing a bachelor’s, master’s, or doctoral degree in data science, computer science, statistics, mathematics, economics, engineering, or a related quantitative field.<\/li>\n
  • Have an academic background in statistics, probability, data analysis, machine learning, or a related discipline.<\/li>\n
  • Demonstrate programming knowledge in Python, R, SQL, C++, C#, Java, or another relevant programming language.<\/li>\n
  • Understand statistical concepts such as probability distributions, hypothesis testing, correlation, regression, and statistical inference.<\/li>\n
  • Have knowledge of data structures and algorithms where required by the role.<\/li>\n
  • Be familiar with data cleaning, preprocessing, exploratory data analysis, and feature engineering.<\/li>\n
  • Have experience using data visualisation tools or libraries to communicate analytical findings.<\/li>\n
  • Understand fundamental machine learning concepts such as classification, regression, clustering, and model evaluation.<\/li>\n
  • Have experience working with structured or unstructured datasets.<\/li>\n
  • Demonstrate knowledge of SQL and database concepts where the position involves data querying and management.<\/li>\n
  • Have exposure to tools such as pandas, NumPy, scikit-learn, Jupyter, Power BI, Tableau, or similar technologies.<\/li>\n<\/ul>\n<\/div>
    \n

    Roles & Responsibilities<\/h2>\n

    A Data Science Intern at Microsoft<\/b> may be responsible for:<\/p>\n

      \n
    • Analyse datasets to identify trends, patterns, relationships, and potential business insights.<\/li>\n
    • Clean, transform, and prepare data for statistical analysis and modelling.<\/li>\n
    • Develop analytical models to support product, business, or technology-related decisions.<\/li>\n
    • Apply statistical methods and machine learning techniques to relevant datasets.<\/li>\n
    • Conduct exploratory data analysis and investigate unusual or significant patterns.<\/li>\n
    • Create data visualisations, dashboards, and reports to communicate findings.<\/li>\n
    • Design or support experiments and analyse their results.<\/li>\n
    • Evaluate models and analytical approaches using suitable statistical or performance metrics.<\/li>\n
    • Work with data scientists, engineers, researchers, product managers, and other teams.<\/li>\n
    • Use Python, SQL, R, or other relevant tools to perform data analysis.<\/li>\n
    • Document methodologies, findings, assumptions, and recommendations.<\/li>\n
    • Contribute to data-driven solutions that address practical technology or business problems.<\/li>\n<\/ul>\n<\/div>
      \n

      Application Process<\/h2>\n

      Candidates interested in the Microsoft Data Science Internship 2026<\/b> can follow these steps:<\/p>\n

        \n
      1. Visit the official Microsoft Careers website and search for Microsoft data science internship opportunities.<\/li>\n
      2. Review the job description carefully to understand the required degree, technical skills, location, internship duration, work authorisation, and other eligibility conditions.<\/li>\n
      3. Prepare a resume highlighting your education, programming knowledge, statistical skills, data science experience, relevant coursework, certifications, and technical projects.<\/li>\n
      4. Include academic, personal, research, or portfolio projects demonstrating experience with data analysis, machine learning, statistics, visualisation, or data-driven problem-solving.<\/li>\n
      5. Mention relevant certifications, coding competitions, research experience, online courses, technical training, and links to GitHub or project portfolios where appropriate.<\/li>\n
      6. Complete the online application form and provide accurate academic and personal information.<\/li>\n
      7. Upload the required resume and supporting documents.<\/li>\n
      8. Shortlisted candidates may be asked to complete coding assessments, analytical tests, technical exercises, or other assessments depending on the position.<\/li>\n
      9. Candidates who progress through the process may participate in technical and behavioural interviews covering statistics, programming, data analysis, projects, problem-solving, communication, and teamwork.<\/li>\n<\/ol>\n<\/div>
        \n

        Selection Process<\/h2>\n

        The Microsoft Data Science Internship selection process<\/b> may include:<\/p>\n

          \n
        1. Application Screening:<\/b> Recruiters may evaluate academic qualifications, technical skills, projects, analytical experience, and the overall candidate profile.<\/li>\n
        2. Technical Assessment:<\/b> Candidates may be assessed on programming, SQL, statistics, probability, data structures, algorithms, and analytical reasoning.<\/li>\n
        3. Technical Interviews:<\/b> Interviews may cover data analysis, statistical methods, machine learning, experimentation, programming, and other skills relevant to the position.<\/li>\n
        4. Project Discussion:<\/b> Candidates may need to explain their data science projects, including the dataset, analytical approach, tools used, findings, and limitations.<\/li>\n
        5. Practical Task:<\/b> Certain positions may include coding, SQL queries, data analysis, visualisation, modelling, or scenario-based analytical exercises.<\/li>\n
        6. Behavioural Interviews:<\/b> Discussions may assess communication, collaboration, curiosity, adaptability, structured thinking, and problem-solving abilities.<\/li>\n
        7. Final Selection:<\/b> Successful candidates may receive an internship offer followed by onboarding and applicable verification procedures.<\/li>\n<\/ol>\n<\/div>
          \n

          Benefits & Perks<\/h2>\n

          The Microsoft Data Science Internship 2026<\/b> may provide benefits such as:<\/p>\n

            \n
          • Internship stipend, depending on the role and location.<\/li>\n
          • Practical exposure to real-world data science projects.<\/li>\n
          • Experience analysing large and complex datasets.<\/li>\n
          • Opportunities to strengthen Python, SQL, statistics, and analytical skills.<\/li>\n
          • Exposure to machine learning and statistical modelling techniques.<\/li>\n
          • Experience using data visualisation and analytical tools.<\/li>\n
          • Opportunities to work with cloud-based data and analytics technologies.<\/li>\n
          • Guidance from experienced data scientists, engineers, researchers, and technical professionals.<\/li>\n
          • Collaboration with multidisciplinary teams.<\/li>\n
          • Experience with experimentation, model evaluation, and data-driven decision-making.<\/li>\n
          • Opportunities to develop analytical and communication skills.<\/li>\n
          • Exposure to responsible data practices, privacy, security, and responsible AI considerations.<\/li>\n
          • Project-based learning that can strengthen a student’s technical portfolio.<\/li>\n
          • Experience documenting analytical methods, findings, and recommendations.<\/li>\n
          • Understanding of how data science contributes to technology products and business decisions.<\/li>\n<\/ul>\n<\/div><\/div>\n","protected":false},"excerpt":{"rendered":"

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