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# Working Student - AI & Data-Driven Cost Calculation

- **Company:** Siemens Energy
- **Location:** Erlangen, Germany
- **Contract:** Temporary contract
- **Skills:** Microsoft Excel, Artificial Intelligence, Big Data, Cloud Database, Computer Programming, Information Engineering, Data Mining, Python (Programming Language), Operational Data Store, Test Data, Data Processing, Large Language Models, Snowflake, Generative AI, Git, Information Technology, Data Analytics
- **Published:** September 17, 2026
- **Apply:** https://www.myability.jobs/de/node/193433/apply-external

## About the Role

* Enrollment in Business Informatics, Data Science, Industrial Engineering, Computer Science, or a related field
 * Programming expertise in Python for data processing, automation, and analytical applications
 * Knowledge of cloud-based data warehousing (e.g., Snowflake), data mining methodologies, and large-scale data analysis
 * Familiarity with Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), and AI-supported tools
 * Proficiency in Excel combined with an interest in data engineering, AI technologies, cost calculation, and controlling-related topics
 * Strong analytical and structured problem-solving skills, quick learning ability, independent working style, and initial practical experience gained through academic projects, internships, personal projects, or collaborative development environments (e.g., Git)

## Description

* Support the collection, structuring, and validation of historical cost data from existing O&M sites
 * Assist in transforming the existing manual Excel-based cost calculation tool into an automated, data-driven solution
 * Help develop and test data-/AI-supported logic to estimate and forecast costs for future O&M contracts
 * Support data quality checks and cleansing of cost and operational data from various sources
 * Help implement automation scripts for data processing, calculation, and reporting using Python
 * Assist in evaluating results and documenting methodology, assumptions, and limitations of the tool


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