Entry Level Careers Opportunities at Microsoft for Graduate Fresher | Microsoft Internship | 0 - 1 yrs

Entry Level Careers Opportunities at Microsoft for Graduate Fresher | Microsoft Internship | 0 – 1 yrs

Microsoft Corporation is an American multinational technology corporation headquartered in Redmond, Washington. Microsoft’s best-known software products are the Windows line of operating systems, the Microsoft 365 suite of productivity applications, and the Internet Explorer and Edge web browsers.

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At Microsoft, Interns work on real-world projects in collaboration with teams across the world, while having fun along the way. You’ll be empowered to build community, explore your passions and achieve your goals. This is your chance to bring your solutions and ideas to life while working on cutting-edge technology. The internship is designed not only for you to do great work with the opportunity to learn and grow, but to experience our culture full of diverse community connections, executive engagement, and memorable events.

Are you ready to join us and create the future? Come as you are, do what you love—start your journey with us today!

Every year, we welcome thousands of university students from every corner of the world to join Microsoft. You bring your aspirations, talent, potential—and excitement for the journey ahead.

Come build community, explore your passions and do your best work at Microsoft with thousands of university graduates from every corner of the world.

Recent Graduate and Internship Opportunities in 2024

Location: Up to 50% work from home

Technology Sales Specialist: Internship Opportunities – Ireland

Job Description:

Reviews customer interactions and raises competitive information to account teams to contribute to development and landing of compete strategies.
Contributes to product strategy by soliciting and communicating customer feedback.
Tailors Microsoft standard messaging to audience using knowledge of specific Microsoft products.
Contributes to demonstrations (e.g., proof of concept [POC] sessions) of solutions based on specific Microsoft products through initial engagements and coaching from senior colleagues. Leverages partner/customer teams as needed to prove product capabilities and integration into customer environment.
Consumes and leverages readiness materials to expand domain knowledge and practices expertise by communicating with customers, partners, and senior colleagues.

Qualifications:

Pursuing a bachelor’s or master’s degree in Computer Science, Information Technology, Engineering, Business, or related field
Must have at least one additional quarter/semester of school remaining following the completion of the internship.  Applicants expected to graduate in 2026 are preferred.

For more details to apply, Click here!

Financial Analyst: for University Students and Recent Graduates,  Canada

Job Responsibilities:

Learn about the various financial cycles as well as the precision and application of Profit & Loss to Microsoft decisions and analysis.
Develop data modeling skills by managing and manipulating complex data.
Gain an understanding around the focus and strategies of finance leaders, comprehend methods and practices in making executive decisions and further build on advanced modeling skills.
Identify the level of risk to both segments of the company and Microsoft as a corporation.  Responsibilities include identifying root causes of risks and analyzing business processes and execution plans to provide a framework for improvement.  You will also learn relationships and responsibilities of Microsoft’s worldwide subsidiaries, operating centers, and/or corporate entities through on-site engagements, while understanding how to effectively gather information and communicate complex findings.

Qualifications

Currently pursuing or have completed a Bachelor’s Degree in Business Administration, Accounting, Finance, Economics, Data Science, or related field.

Preferred:

Previous co-op internternship experience with Microsoft Finance organization in Canada preferred.
At least one year of classroom and/or finance internship work experience in financial risk analysis with demonstrated analytical and problem-solving skills
Competency in MS Office, especially in Excel including pivot tables; certifications or relevant coursework preferred.
Power BI /Tableau or other data visualization experience preferred.
SQL/R/Python or other programming/data science experience preferred.
Proven ability, experience, and overall understanding of fundamental finance and accounting acumen including data modeling, data analytics, FP&A, forecasting, interpreting financial statements, and reporting.
Capable of working with high degree of ambiguity in a fast-paced environment .
Demonstrated ability to work both independently and collaboratively with multiple business partners and teams.

For more details to apply, Click here!

Research Sciences – Internship Opportunities – India

Job Description:

We are seeking candidates with research skills and technical backgrounds. Applicants should demonstrate depth of knowledge in Natural Language Understanding, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining or Machine Intelligence (Artificial Intelligence) as well as strong academia experience in data processing, experimentation, and modeling.

Analyze and improve performance of advanced algorithms on large-scale datasets and cutting-edge research in machine intelligence and machine learning applications.
Implement prototypes of scalable systems in AI applications.
Collaborate closely with team members on developing systems from prototyping to production level.
Develop solutions for real world, large-scale problems.

Qualifications

Bachelor’s Degree (complete or in progress) in relevant field

o OR Master’s Degree in relevant field

o OR equivalent experience.

Preferred Qualifications

· Master’s Degree or PhD in relevant field

o OR equivalent experience.

· Experience publishing academic papers as a lead author or essential contributor.

· Experience participating in a top conference in relevant research domain.

For more details to apply, Click here!