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SAP’s Business AI Internship Offers University Credit and Hands-On Machine Learning Research

SAP is inviting applications for its Data Science Developer Intern – SAP Business AI opportunity in Singapore. The internship gives university students an opportunity to participate in machine learning research projects and develop AI solutions for commercial business applications.

The placement is expected to run from January to May or June 2027, with a full-time commitment of five days per week. SAP classifies the opportunity as a university credit-bearing internship, making it relevant to students seeking practical industry experience as part of their academic development. SAP

Background and Internship Description

SAP is a global enterprise software company whose technologies support organisations across different industries. Its SAP AI Business Services team in Singapore focuses on developing artificial intelligence technologies and integrating machine learning solutions into enterprise software.

The internship offers students exposure to both research and software development. Interns will contribute to research prototypes, explore machine learning models and gain experience in deploying solutions for large-scale commercial use.

The work is intended to connect academic research with practical business applications, allowing students to understand how AI technologies can be developed and incorporated into enterprise systems. SAP

Internship Overview

DetailInformation
OrganisationSAP
Internship titleData Science Developer Intern – SAP Business AI
Requisition ID446255
LocationSingapore
Expected startJanuary 2027
Expected endMay or June 2027
Duration3–6 months
Working arrangementFull-time, five days per week
Internship typeUniversity credit-bearing
Employment typeLimited full-time
SalaryNot disclosed
Application deadlineNot specified

SAP

What the Internship Offers

Selected students will participate in research projects involving machine learning and software engineering. They will have an opportunity to contribute to the development of innovative prototypes and explore how AI models can be prepared for real-world commercial use.

The main learning and work activities include:

  • Developing and experimenting with machine learning models.
  • Contributing to research prototypes and AI-based solutions.
  • Applying software engineering principles to research projects.
  • Exploring machine learning and deep learning techniques.
  • Working with technologies and frameworks such as TensorFlow and Keras.
  • Supporting the deployment of machine learning models for large-scale business applications.
  • Collaborating with SAP teams working on enterprise AI solutions.

The internship combines research and production-oriented development, giving students exposure to different stages of machine learning solution development. SAP

Qualifications and Eligibility

Applicants must currently be studying towards a degree in one of the following fields or a related discipline:

  • Computer Science
  • Electrical Engineering
  • Information Technology
  • Information Systems

Students should have a strong interest in machine learning, deep learning and artificial intelligence.

Required Skills and Competencies

Candidates should demonstrate:

  • Practical programming experience, particularly in Python.
  • Interest in machine learning and deep learning frameworks such as TensorFlow and Keras.
  • Ability to learn independently.
  • Good written and verbal communication skills.
  • Confidence in presenting technical information.
  • Interest in research and developing innovative technology solutions.

A background in basic machine learning techniques is an advantage, although the listing identifies it as a plus rather than a mandatory requirement. SAP

Application Documents

SAP requires applicants to prepare the following documents:

  • A cover letter.
  • An updated curriculum vitae (CV).
  • Copies of obtained academic degrees.
  • Copies of relevant certifications.

Applicants should ensure that their documents clearly demonstrate their academic background, programming experience and interest in machine learning research.

Additional Information

The internship is based in Singapore and requires full-time availability for five days per week. The expected programme period is January to May or June 2027, with an overall duration of three to six months.

SAP identifies the internship as university credit-bearing. Students should confirm with their universities whether the placement meets their academic credit requirements.

The vacancy does not disclose a salary, fixed application deadline, accommodation package or visa sponsorship arrangements. International applicants should confirm the relevant work authorisation and immigration requirements before applying. SAP

How to Apply

Interested students should apply through SAP’s official careers platform.

Before submitting an application, candidates should prepare their CV, cover letter, academic qualifications and relevant certificates. Applicants should also confirm that they can commit to the required full-time internship period.

Official application – SAP Careers

Data Science Developer Intern – SAP Business AI Singapore | Requisition ID: 446255APPLY NOW

If the direct page does not load, search SAP Careers using requisition ID 446255.

Frequently Asked Questions

What is the SAP Business AI Internship?

It is a Data Science Developer Internship within SAP Business AI in Singapore, where university students participate in machine learning research and AI software development projects.

When does the internship start?

The expected start date is January 2027, with the programme expected to end in May or June 2027.

How long does the internship last?

The advertised duration is between three and six months, on a full-time basis.

Is the SAP internship university credit-bearing?

Yes. SAP identifies the opportunity as a university credit-bearing internship. Students should check their institution’s requirements for receiving academic credit.

Which students are eligible to apply?

Students pursuing degrees in Computer Science, Electrical Engineering, Information Technology, Information Systems or related fields are eligible to be considered.

Is Python required?

SAP expects applicants to have hands-on programming experience, including experience with languages such as Python.

Is machine learning experience compulsory?

A background in basic machine learning techniques is an advantage. The listing does not identify it as a compulsory requirement.

What documents are required?

Applicants should submit a cover letter, CV, copies of obtained degrees and relevant certifications.

Does SAP provide a salary?

The vacancy does not disclose a specific salary or hourly payment rate.

Can international students apply?

The listing does not clearly specify visa sponsorship or international applicant arrangements. Students who need immigration support should confirm their eligibility directly with SAP.

Opportunities Feed Assessment

SAP’s Data Science Developer Internship is a relevant opportunity for students interested in machine learning research, artificial intelligence and enterprise software development. Its combination of research prototypes and commercial AI applications offers valuable exposure beyond classroom learning.

The university credit-bearing structure is also an important consideration for students whose academic programmes require industry placements. However, applicants should confirm academic credit arrangements with their universities and clarify work authorisation requirements before applying.

Disclaimer: Opportunities Feed is an independent opportunities information platform and is not affiliated with SAP. We do not recruit candidates or process applications. All applications must be submitted through SAP’s official careers platform.

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Ken Tafadzwa Mareyangepo is a media and communications professional and graduate of Midlands State University, where he studied Media and Society Studies with a focus on film, video, and photographic arts . With a strong interest in storytelling, digital media, and content creation, he brings valuable skills in communication, visual content, and audience engagement. As an Admin at Opportunity Feed, Ken contributes to curating and sharing global opportunities, helping connect students and professionals to jobs, internships, scholarships, and fellowships worldwide.

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