SMA Solar

Working Student – Artificial Intelligence, Finance

SMA Solar

part-time

Posted on:

Location Type: Hybrid

Location: Kassel • Germany

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Job Level

Entry Level

Tech Stack

PandasPythonScikit-Learn

About the role

  • Improve the performance of our code and ensure code quality through clear pytest unit tests
  • Analyze new data sources and models for our AI forecasts and discuss your findings with the team
  • Extract data from our SAP Business Warehouse using SAP Analysis for Microsoft Office and prepare it for use in our AI infrastructure
  • Support the monthly production of AI forecasts for the finance department

Requirements

  • Enrolled in a degree program such as Data Science, Computer Science, Business Informatics, Mathematics, or a related field
  • Enthusiasm for analysis and a preference for structured, careful work with numbers and data
  • Experience with Python and pandas for data analysis and preparation; knowledge of Scikit-learn and sktime is desirable but not required
  • Basic knowledge of git is an advantage
  • SAP knowledge: Not required — we will teach you everything you need
Benefits
  • Fair compensation
  • Great benefits
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonpandaspytestScikit-learnsktimegit
Soft Skills
enthusiasm for analysisstructured workcareful workteam collaboration