SAP Ariba iXp Intern - AI Product Strategy and Data Science

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 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:

 

Position title: SAP Ariba iXp Intern – AI Product Strategy and Data Science

Location: Palo Alto, CA (Hybrid) 

Expected Start: June/July 2025 

Schedule: 40 HR/week 

 

As an AI Product Strategy and Data Science Intern, you will work at the intersection of artificial intelligence, product innovation, and strategic analytics. This internship will support strategic initiatives aimed at embedding AI across procurement workflows, with a focus on delivering real, scalable value to enterprise customers.

 

Key Responsibilities and Deliverables:

• Partner with AI product managers and data scientists to shape AI features in areas such as spend classification, sourcing optimization, supplier risk scoring, and contract intelligence.

• Analyze product telemetry, customer usage patterns, and internal performance data to identify high-leverage AI opportunities.

• Design frameworks for evaluating AI feature performance and customer value (e.g., precision/recall tradeoffs, ROI modeling, usage funnel analysis).

• Support development of a “data product strategy” including internal and customer-facing data assets.

• Develop a machine learning or GenAI proof of concept with researchers (e.g., supplier clustering, contract summarization) from data exploration through evaluation, delivering a clear go/no-go recommendation.

• Build and integrate a production-ready AI or data service, including model pipeline automation and API development in collaboration with engineering teams.

• Deliver a final presentation and strategic memo to senior leadership outlining your insights, proposed roadmap changes, and product enhancement opportunities.

 

What you bring: 

 

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

 

• Educational Requirements: Currently pursuing a Bachelor’s degree in Computer Science, Data Science, Engineering, Business, or a related field.

• Position Requirements: Available for a full-time summer internship (10–12 weeks); able to work in a collaborative, cross-functional environment. 

Desired Skills / Experience:

• Basic knowledge of Python or SQL for data analysis

• Exposure to machine learning concepts or AI product applications

• Strong analytical, communication, and problem-solving skills

• Comfortable working with ambiguity and iterating on feedback

Qualifications:

• Required: Enrollment in a Bachelor’s program and completion of foundational coursework in data analysis, programming, or statistics

• Preferred: Experience with Jupyter notebooks, product strategy, or coursework/projects involving ML, AI, or business analytics

 

Meet your team:

 

You’ll be joining a globally distributed team with a strong presence in Palo Alto. Our group includes product managers, data scientists, and ML engineers who work closely together to turn ideas into scalable AI features. We value curiosity, experimentation, and a strong bias to action—whether it’s testing a new model, prototyping a user flow, or challenging how things are done today.

We foster an open, collaborative environment where interns are treated as core team members, encouraged to contribute ideas, and supported by mentors across roles and regions. Fun fact: we love whiteboard problem-solving sessions, spontaneous brainstorming, and sharing the latest AI papers or product insights over coffee (virtual or in-person!).

 

#LI-Hybrid 

 

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 world.

SAP is committed to the values of Equal Employment Opportunity and provides 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.

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. Please reference this link for a summary of SAP benefits and eligibility requirements: SAP North America Benefits.

 

Requisition ID: 426263 | Work Area:Information Technology  | Expected Travel: 0 - 10% | Career Status: Student | Employment Type: Limited Full Time | Additional Locations: #LI-Hybrid