SAP iXp Intern

SAP Data Scientist Intern - Customer And Competitive Market IntelligenceThe 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.Location: Newport Beach or RemoteExpected Start Date: September 2025Contract Duration: 12 monthsWork hours: 20 or 40 hours/weekAs 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 insightsWorking with transformer-based models (e.g., BERT, GPT) for natural language processing tasksTroubleshooting 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 processesWhat 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.Independence: Ability to work independently and manage multiple projects simultaneously.Interpersonal Skills: Superior interpersonal skills; ability to build relationships across SAP functional areas, geographies and hierarchical levels.Industry Knowledge: Base understanding of the software industry and its competitive landscape.Flexibility: Highest level of flexibility, integrity, and confidentiality.Meet your team:Take advantage of this unique opportunity to be part of SAP's CMI team within the SAP Strategy & Operations organization. The Intern will engage across the CMI and our global partners to help drive the implementation of SAP's XM strategy and achievement of shared business objectives to create world-class experiences.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 world.Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.Compensation Range Transparency: SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAP's commitment to pay equity. SAP provides the annualized compensation range inclusive of base salary and variable incentive target for the career level applicable to the posted role. The targeted combined range for this position is $15 - $62(USD) USD. The actual amount to be offered to the successful candidate will be within that range, dependent upon the key aspects of each case which may include education, skills, experience, scope of the role, location, etc. as determined through the selection process. Any SAP variable incentive includes a targeted dollar amount and any actual payout amount is dependent on company and personal performance.