Data Science Developer Intern SAP Business AI Singapore
SAP
- Location
- Singapore, SG, 117440
- Employment
- Internship
- Work model
- On-Site
- Level
- Intern
Skills
About this role
We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
Location: Singapore Expected start and end date: Jan to May/June 2027 Working hours: Full time (5days/week) availability Internship Type: University Credit-bearing Internship
SAP is a global market leader for business software and thus contributes a considerable part of the world's economic power grid. At SAP you get your chance to put your ideas into action with maximum impact. SAP AI Business Services Singapore is an innovation arm of SAP. The group significantly contributes to SAP's product portfolio and extends its leading position in the market by identifying and shaping emerging IT trends and generating breakthrough technologies through AI.
SAP AI teams combine the creativity and agility of a start-up with the backbone of a world market leader in business software. The focus of the team is to embed and develop Machine Learning solutions into business enterprise solutions. In collaboration with leading universities, partners, customers, and SAP product groups, SAP drives the development of promising ideas and prototypes into market-ready software for maximum customer value.
EXPECTATIONS AND TASKS
You will work as a student intern in fast-paced research projects and apply software engineering principles and concepts to help create new and innovative research prototypes. This internship gives you the unique opportunity to work on both research – developing novel Machine Learning models, and production – deploying said models for large-scale commercial use. Your work in this internship will directly impact the millions of people currently using SAP solutions. The duration of the internship is 3-6 months full-time.
SKILLS AND COMPETENCIES
You are currently studying for a degree in: Computer Science, Electrical Engineering, Information Technology, Information Systems, or related fields
You are an independent learner with a strong interest in machine/deep learning and related frameworks (Tensorflow, Keras, etc.)
You have excellent communication skills: oral, written, and in presentations
You have hands-on experience in programming languages such as Python
Background in basic machine learning techniques is a plus
To be considered for this internship, your set of application documents should contain a cover letter, a CV, copies of your obtained degrees and certifications.
SAP treasures its employees and is voted as one of the top companies to work for in Singapore. Our interns get to enjoy many benefits offered within the company.
"At SAP, you can impact the way business is run." Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best. We win with inclusion SAP’s culture of inclusion, focus on health and well-being,