SAP

We help the world run better

At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. 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.

About the SAP Internship Experience Program:

The SAP Internship Experience Program is SAP’s global, strategic, paid internship program that provides university students with opportunities to find purpose in their careers.

Three reasons to intern at SAP:

1. Culture of collaboration: meet with mentors, make new friends across the globe and create a thriving personal network.

2. Project-driven experience: gain cross-functional skills from our virtual and in-person learning sessions, diverse subject matter experts, and project deliverables.

3. Gain visibility: with Internship Experience Project in your title, you’ll have a global network of SAP leaders, entrepreneurs and career development opportunities at your fingertips.

As a Data Scientist, you will utilize advanced analytics and machine learning techniques to analyze and interpret complex datasets. Collaborating with cross-functional teams, you will help optimize processes, forecast future trends, and develop data-driven strategies. You will also be responsible for building predictive models, creating data visualizations, and supporting proactive, data-informed decision-making aligned with the organization’s objectives. Your expertise in data science will play a crucial role in uncovering actionable insights and driving continuous improvement within the Customer Support & Cloud Lifecycle Management (CSUP & CLM) organization.

What you’ll do:

Position Title: SAP iXp Intern-Business Intelligence Data Scientist

Location: São Leopoldo, RS (Hybrid – 3x per week)

Expected Duration: July, 2025 – July, 2027

• Analyze and interpret cross-organizational data to uncover trends, patterns and dependencies.
• Develop and implement statistical models and machine learning algorithms (e.g., regression, clustering, classification, time-series forecasting) to predict future trends and outcomes.
• Create visualizations and generate actionable insights and recommendations to support strategic decisions and effectively communicate findings and trends to business units.
• Collaborate closely with business stakeholders to understand their needs and translate them into data-driven solutions.
• Continuously enhance data processes, analytical methods, and modelling techniques to optimize decision-making.
• Perform data preparation for projects, including identification of ideal metrics.
• Continuously experiment with and adopt new AI/ML frameworks, tools, and technologies to enhance solution effectivenes

What you bring

• Knowledge of Database, Data Management, SQL, and Artificial Intelligence
• Proficiency in data analysis tools and programming languages. Python skills as a major benefit.
• Demonstrated ability to define and implement KPIs that align with business objectives.
• Familiarity with SAP technologies and platforms.
• Analytical skills with the ability for abstract thinking.
• Strong problem-solving skills and attention to detail.
• Excellent communication skills, with the ability to convey complex data insights to non-technical stakeholders.
• Excellent written and verbal communication skills
• Ability to work collaboratively in a team-oriented environment.
• Strong enthusiasm and interest in learning new technologies and next generation business model.

Technical Skills

• Programming & Scripting. Python skills is a major benefit
• Machine Learning and Modelling
• Data Wrangling & Exploration
• Basics in Data Engineering incl. understanding of data pipelines and ETL/ELT processes, working with big data tools (e.g., Databricks), Cloud platforms (e.g., AWS, Azure, etc.) and experience with data lakes (especially on Databricks)

Meet your team:

The COO office for the Customer Support (CSUP) and Cloud Lifecycle Management (CLM) organization drives strategy execution, organizational performance steering and operational excellence for the CSUP & CLM business to elevate the customer experience at scale. The Business Intelligence team, as a vital part of this organization, empowers the Customer Support business function by delivering actionable insights to drive strategic decision making with an outstanding data consumption experience.

• Please upload your CV in English

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, 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: Careers@sap.com

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: 426510 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Student | Employment Type: Limited Full Time | Additional Locations: #LI-Hybrid.

Job Segment: Business Intelligence, SAP, Cloud, ERP, Intern, Technology, Entry Level