SAPSAP China iXp Intern - Data Processing Intern for SAP Globalization - Language Experience
任职要求
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 ABOUT SAP Globalization-Language Experience SAP Globalization - Language Experience (LX) provides translation, translation-related services and language technology for all of SAP’s products. We enable SAP and SAP’s customers to enter global markets with high-quality multilingual products, solutions, marketing, internal and external communications as well as training and product support content. We provide consulting, develop and make use of advanced translation technology and automation to minimize cost for SAP and maximize consistency and quality. We handle translation of more than 10 billion words per year into 69 languages from 17 locations. We work with 80+ translation agencies worldwide and are supported by 2,000+ translators.
工作职责
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.
SAP Adaptive Server Enterprise (ASE) is a highly optimized relational database management system for mission critical transactional processing and operational reporting. It delivered high performance at a low total cost of ownership and is designed to run on any standard hardware and operating system. SAP ASE is widely used in banking, stock trading, insurance and other data-intensive financial businesses. Now SAP ASE is being renewed for continuing supporting on-premise businesses and extending footprint to cloud as well. After join us, you will: - Focus on Software quality, performance and scalability.- Build a strong foundation in relational database concepts.- Contribute innovative new ideas to shape the product.- Develop test plans, test framework, test cases, and test scripts.- Perform manual and automated testing against on-premise products and cloud services.- Identify, document, and track software defects.- Collaborate with development teams to understand requirements and design effective test strategies.- Collaborate with development teams to reproduce and troubleshoot for the customer issues, and provide root cause analysis.- Investigate to adopt AI technologies to improve test efficiency.
As an intern, you will: - Perform definition and development of LLM based tool based on the input from Apple Hardware Engineering EPx (EPM/EPS) organization and transfer those into working tools. - Design and prototype AI-powered tools that enable Hardware EPx(EPM/EPS) to perform more effective data analysis. - Implement backend service and front-end interface. Certain familiarity with the required language is a must (Backend - Python; Front-end - React/Next.js). - Explore EPx faced business and convert those to AI/ML workflows.
As an intern, you will: - Perform definition and development of LLM based tool based on the input from Apple Hardware Engineering EPx (EPM/EPS) organization and transfer those into working tools. - Design and prototype AI-powered tools that enable Hardware EPx(EPM/EPS) to perform more effective data analysis. - Implement backend service and front-end interface. Certain familiarity with the required language is a must (Backend - Python; Front-end - React/Next.js). - Explore EPx faced business and convert those to AI/ML workflows.
· Data Processing: Validate, correct and consolidate raw data; adjust data format… etc. Support data analysis which covers Forecast, Pipeline and Revenue…etc. · Template and file cleanup / refinement: Refine analysis templates to align with the evolving reporting structure; streamline processes which cover forecast, pipeline, revenue management. · Cross Team Coordination: Drive regular communication, follow up with Business / Function unit, content / action owners. Update the latest information in our internal communication channels. · Cadence Support: Maintain and deliver a cadence of cross-team meetings, coordinate across teams for management update. · Written Communication: Create and format clear, well-written narratives A day in the life · Manage and ensure the timely execution of business operations and the production of high-quality deliverable · Leverage data tools such as Excel, SQL, Tableau and Salesforce.com to manage and optimize sales opportunity · Assist with daily sales reporting using Excel, SQL, Tableau and Salesforce.com. Simplify processes and create clear reports or deliver effective data presentation. · Develop SOPs, workflows, metrics, reports or other analytical tools to maximize productivity · Work relentlessly to improve existing processes and use data driven decision making to make recommendations for systems, process, and business improvements · Demonstrate an entrepreneurial spirit, show excellent judgment, and deliver innovative solutions. Be passionate about high standards and never satisfied with the status quo.