SAP Ixp Intern-business Intelligence Data Scientist

**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.

**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**

**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 compa