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Working Student (f/m/d) - AI & Data-Driven Cost Calculation

Siemens Energyvor 10 StundenWerkstudent
Vor OrtEnglisch erforderlichTechKI, ML & Data Science

Erforderliche Skills

SnowflakeAutomationLarge Language Models (LLMs)PythonData EngineeringRetrieval-Augmented Generation (RAG)Data MiningGitCost ModelingExcelData Warehousing

Stellenbeschreibung

Siemens Energy hat diese Stelle ausgeschrieben. Unten erklären wir, was sie für dich als Werkstudent:in in Erlangen bedeutet: deine Wochenstunden, dein Netto und deine Visumsgrenzen.

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Beschreibung bereitgestellt von Siemens Energy

Location: ERL S SP 15

Mode of Employment: Part-time / Fixed Term

A Snapshot of Your Day

In this role, you will support the development of an AI- and data-driven cost calculation tool for Operations & Maintenance (O&M) contracts for power plants. The tool will build on an existing Excel-based solution that is currently maintained manually, with the goal of systematically collecting actual costs incurred at existing O&M sites and using this data to automatically calculate and forecast costs for future O&M contracts. Guided by senior engineers, you'll support data collection and structuring, prototype development, and automation, gaining hands-on experience with applied AI, data engineering, and cost modeling in an industrial and energy operations environment.

How You’ll Make An Impact

  • 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

What You Bring

  • 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)

About The Team

Our Gas Services division offers Low-emission power generation through service and decarbonization. Zero or low emission power generation and all gas turbines under one roof, steam turbines and generators. Decarbonization opportunities through service offerings, modernization, and digitalization of the fleet.

Who is Siemens Energy?

At Siemens Energy, we are more than just an energy technology company. With ~100.000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation.

Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.

Find out how you can make a difference at Siemens Energy: https://www.siemens-energy.com/employeevideo

Our Commitment to Diversity

Lucky for us, we are not all the same. Through diversity we generate power. We run on inclusion and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character – no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences.

Rewards/Benefits

  • Exciting insights into an international company
  • Lay the foundation for your career with us

We value equal opportunities and welcome applications from people with disabilities.

https://jobs.siemens-energy.com/jobs

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Wichtiges für Werkstudierende

Was diese Werkstudentenstelle im Bereich Tech in Erlangen für dich bedeutet: die Wochenstundenregeln, die Vorteile bei den Sozialabgaben und worauf internationale Studierende vor der Bewerbung achten sollten.

Wochenstunden

Werkstudierende dürfen während des Semesters bis zu 20 Stunden pro Woche arbeiten, in den Semesterferien Vollzeit. Wer das einhält, behält den Studierendenstatus und die Werkstudentenvorteile.

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Sozialabgaben

Dank des Werkstudentenprivilegs zahlst du keine Beiträge zur Kranken-, Pflege- und Arbeitslosenversicherung — nur die Rentenversicherung greift. Dir bleibt mehr netto als in einem regulären Job.

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Internationale Studierende

Studierende von außerhalb der EU dürfen 140 volle oder 280 halbe Tage im Jahr arbeiten (seit März 2024, zuvor 120/240). Ein Werkstudentenvertrag passt meist in diesen Rahmen — prüfe die genauen Grenzen auf deinem Aufenthaltstitel.

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