SAP SAP Enterprise Adoption iXp Intern f/m/d - Data Science Analytics 

Germany, Baden-Württemberg 

796572074

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.

In this role, you’ll:

• Help define and design research methodologies for capturing key goals and targets. (KPIs)
• Develop prompt engineering best practices and quality workflows – improve quality initiatives by applying data science methodologies, designing experiments to measure usage, and apply rigorous analysis to support data driven decisions.
• Continual refinement of aspects of new AI tools (e.g. refining prompts to get better results, designing new workflows based on user feedback and research).
• Measuring adoption of the tools and services our organization offers.
• Designing and testing dashboards for presentation of our research, KPIs, etc (including provision of content for AI training), e.g. PowerBI for data such as customer feedback)
• Integrating different data sources to create dashboards for initiatives that cross different LOBs.

Who you are:

You are a student (f/m/d) at a university or a university of applied sciences. 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.

• Working with different data sources such as SQL, Node, elasticsearch and knowledge graphs – and integrating results for presentation.
• Knowledge of Python, R and other tools used for statistical analysis.
• Comfortable working with scripting languages.
• Experience working with Java, and javascript.
• Good understanding of object-oriented programming.
• Studying Computer Science, Mathematics or Engineering.
• Fluent in English.
• Good organizational skills.
• Comfortable working with tight deadlines and multiple projects.
• Comfortable working both independently and within a team dynamic.
• Interested in statistics, data mining.
• Enthusiasm for making things better!

Visit our for more information on the program.

Your set of application documents should contain a cover letter, a resume in table form, school leaving certificates, certificate of enrollment, current university transcript of records, copies of any academic degrees already earned, and if available, references from former employers (including internships). Please also describe your experience and skills in foreign languages and computer programs / programming languages.