SAP Career Starter – Technology Associate Consultant – Artificial Intelligence

We help the world run better

Our company culture is focused on helping our employees enable innovation by building breakthroughs together. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from. Apply now!

YOUR FUTURE ROLE

We are looking for career starters on graduate level (f/m/d) to strengthen our delivery capabilities in the Analytics & Insight Services organization. Our team’s focus is to provide consulting and professional services in the field of Planning & Analytics and Artificial Intelligence with our main mandate to drive customer adoption and innovative use cases. Our consultants and architects work with some of SAP’s largest customers on their digital transformation journey. As such, we help to define and review a customer’s strategic direction, drive the adoption of our software products and ensure that projects will successfully go live and operate according to SAP’s best practice no matter if deployed on premise, hybrid or cloud.

Within the Analytics & Insight Services team you will work on topics such as:
 

• Work on digital transformation and cloud transition projects using SAP’s latest solutions offered as part of the SAP Business Technology Platform (SAP Analytics Cloud, SAP Data Warehouse Cloud and SAP AI Core, BTP full-stack development)
• Create and support our customers end-to-end processes from data inception to data mart creation, visualisation and application/AI model design
• Collaborate with senior AI developers to design, develop, and implement AI solutions.
• Assist in the collection, pre-processing, and analysis of data for AI models.
• Contribute to the development and optimization of machine learning algorithms.
• Support in building and maintaining AI systems, including testing and debugging.
• Stay updated with the latest advancements in AI technologies and methodologies.
   

YOUR PROFILE
 

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field with a focus on Artificial Intelligence.
• Basic understanding of machine learning algorithms, deep learning frameworks, and statistical analysis.
• Proficiency in programming languages such as Python, Java, or C++, with the ability to write clean, efficient code.
• Familiarity with data manipulation tools and libraries like NumPy, pandas, and scikit-learn.
• Strong analytical and problem-solving skills, with a meticulous attention to detail.
• Excellent communication and teamwork abilities, with a desire to learn and grow in the field of AI.
• Prior experience with AI projects, internships, or coursework is a plus.
• Theoretical and practical experience with SAP applications in the field of Data & Analytics is not expected but a benefit.
   

MEET YOUR TEAM

The Analytics & Insight Services team is part of a global organization located within SAP’s Customer Services & Delivery board area. A&I delivers Planning & Analytics cloud solutions from project positioning to full implementation on a global level. As thought-leaders, the organization drives strategy by leveraging its rich experience in the field to create business content and automation assets. Working with SAP Partners is their ambition to support awareness and adoption of SAP’s cloud solutions.

We build breakthroughs together

SAP innovations help more than 400,000 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 200 million users and more than 100,000 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, we build breakthroughs, together.

We win with inclusion

SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better and more equitable world.
SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: [email protected]
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

EOE AA M/F/Vet/Disability:

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.
Successful candidates might be required to undergo a background verification with an external vendor.

Requisition ID: 390877  | Work Area: Consulting and Professional Services  | Expected Travel: 0 – 10%  | Career Status: Graduate  | Employment Type: Regular Full Time   | Additional Locations: #LI-Hybrid.