SAP iXp Intern - Data Scientist, Customer and Competitive Market Intelligence

Requisition ID: 431440
Work Area: Corporate Operations
Expected Travel: 0 - 10%
Career Status: Student
Employment Type: Limited Full Time
Career Level: NA
Hiring Manager: Dennis Sorensen 
Recruiter Name: Cindy Claudia
Additional Locations:

 

 

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

• Culture of collaboration: Meet with mentors, make new friends across the globe, and create a thriving personal network.
• Project-driven experience: Gain cross-functional skills from our virtual and in-person learning sessions, diverse subject matter experts, and project deliverables.
• Gain visibility: With SAP Internship Experience Program in your title, you’ll have a global network of SAP leaders, entrepreneurs, and career development opportunities at your fingertips.

 

What you’ll do

Job Title: SAP Data Scientist Intern - Customer and Competitive Market Intelligence (CMI)

Location: Newport Beach or Remote

Expected Start Date: September 2025

Contract Duration: 12 months

Work hours: 20 or 40 hours/week

 

As a Data Scientist Intern in the Customer and Competitive Market Intelligence (CMI) group, you will bring the power of experience data to SAP in support of SAP corporate goals, including: to be #1 in Customer Satisfaction. You will help grow and optimize our customer and Partner experience measurement programs to deliver deeply impactful Experience Management (XM) insights to business stakeholders. Your primary responsibilities will include:

• Collaborating with cross-functional teams to gather requirements for data integrations.
• Developing and implementing project plans for data engineering, analysis and visualization based on the needs of internal stakeholders.
• Training and supporting teams on data usage and results interpretation best practices.
• Developing and maintaining data engineering and analytic processes to support XM program targeting, analysis requirements and program expansion.

• Running statistical analysis using methods like correlation, ANOVA, regression.

• Applying Large Language Models (LLMs), including prompt engineering, to synthesize key insights
• Working with transformer-based models (e.g., BERT, GPT) for natural language processing tasks
• Troubleshooting technical issues related to data and systems in the SAP data warehouse and data lake environments.
• Identifying areas for improvement and implementing changes to enhance the efficiency and functionality of data engineering and analysis processes

 

What you bring

We’re looking for someone who takes initiative, perseveres, and stays curious. You like to work on meaningful, innovative projects and are energized by lifelong learning.

• Education: Bachelor’s or Master’s degree in an analytical field like Data Science, Computer Science, Mathematics/Statistics, Business Analytics, Economics, Marketing, Finance, or Social Science.
• Experience: Prior experience in data mining, advanced data manipulation, statistical analysis, and LLM processing, working with cloud-based computing platforms and big data tools.
• Technical Skills: Proficient in data engineering techniques, skilled in topic modeling and sentiment analysis of unstructured data, experienced in LLM prompt engineering to generate key insights from unstructured data, competence in statistical techniques such as correlation ANOVA, and regression, fluency in Python, SQL, Excel and PowerPoint. Experience with Databricks is helpful.
• Problem-Solving: Strong problem-solving skills, including the ability to undertake analyses, synthesize findings/recommendations, articulate a storyline, and create and conduct high-impact presentations.