SAP SAP iXp Intern - Data Processing 

United Kingdom, England, London 

248211179

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 will collaborate within a cutting-edge global team to support data-driven projects. Your responsibilities will span the end-to-end data lifecycle, leveraging AI technologies to enhance efficiency:

• ​ ​Data Processing & Analysis:​ ​ Clean, transform, and analyze large-scale datasets; develop automated pipelines for structured/unstructured data.
• ​ ​AI Tool Implementation:​ ​ Apply machine learning libraries and generative AI tools to optimize data tasks.
• ​ ​Insight Generation:​ ​ Visualize data trends and deliver actionable reports to stakeholders.
• ​ ​Process Optimization:​ ​ Document workflows and propose AI-enhanced solutions for data quality and efficiency.
• ​ ​Cross-functional Collaboration:​ ​ Partner with engineers and product teams to deploy data solutions.

You will drive results with proactive ownership, continuously exploring emerging AI/ML technologies to build scalable data services.

Required

• Master’s degree in Computer Science, Data Science, or related fields​ ​ (in progress).
• ​ ​Technical Proficiency:​ ​
  • Python programming for data manipulation.
  • SQL for database querying.
  • Experience with data visualization tools.
• ​ ​AI/ML Aptitude:​ ​ Understanding of machine learning concepts and hands-on exposure to AI frameworks.
• ​ ​Analytical Rigor:​ ​ Strong problem-solving skills with meticulous attention to data accuracy.
• ​ ​Agile Learner:​ ​ Ability to rapidly master new tools (e.g., cloud platforms).
• ​ ​Communication:​ ​ ​ ​Professional fluency in English​ ​ (written/spoken); adept at translating technical insights for non-technical audiences.
• ​ ​Tools:​ ​ Advanced MS Excel (macros, pivot tables), collaborative platforms (Jira).

Preferred

• Experience on translation tools and translation process automation tools, such as SDL Trados Studio, XTM, Rigi, is a plus.
• Knowledge of NLP techniques or generative AI applications in data contexts is a plus.
• Knowledge of AI-based machine translation is a plus

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Successful candidates might be required to undergo a background verification with an external vendor.