Werkstudent*in Data Science & KI at NOW GmbH Nationale Organisation für den Wandel in der Mobilität | Berlin, DEU | Rezi

Werkstudent*in Data Science & KI at NOW GmbH Nationale Organisation für den Wandel in der Mobilität

Werkstudent*in Data Science & KI

NOW GmbH Nationale Organisation für den Wandel in der Mobilität · Berlin, DEU

Today

Werkstudent*in Data Science & KI

NOW GmbH Nationale Organisation für den Wandel in der Mobilität · Berlin, DEU

9 hours ago
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About the Role

Support the central Data & Cloud team with data analysis, BI reporting, and cloud administration. Develop and maintain ETL pipelines for end-to-end data analysis using Python on AWS. Conduct independent data analyses and prepare results in meaningful dashboards and reports in Power BI. Take responsibility for tasks related to the Data Warehouse, including data modeling and ensuring data quality. Identify new AI use cases, analyze their potential, and implement initial prototypes. Actively contribute to strengthening data and AI competence within the company.

Responsibilities

  • Support the central Data & Cloud team with data analysis, BI reporting, and cloud administration.
  • Develop and maintain ETL pipelines for end-to-end data analysis using Python on AWS.
  • Conduct independent data analyses and prepare results in meaningful dashboards and reports in Power BI.
  • Take responsibility for tasks related to the Data Warehouse, including data modeling and ensuring data quality.
  • Identify new AI use cases, analyze their potential, and implement initial prototypes.
  • Actively contribute to strengthening data and AI competence within the company.

Requirements

  • Studying Computer Science, Data Science, Business Informatics, Mathematics, or a comparable degree program (Bachelor or Master).
  • Programming skills in Python.
  • Practical experience with REST APIs and Power BI.
  • Interest in the tech environment: AWS, Power BI, GitHub.
  • Initial experience with Machine Learning or GenAI is ideal.
  • Knowledge of SQL or Data Warehouse concepts is advantageous.
  • Initial exposure to Terraform or Infrastructure as Code.
  • Structured, independent, and responsible work style.
  • Enjoy analyzing complex problems and developing solutions.
  • Team spirit, willingness to learn, and enthusiasm for new technologies.
  • Empathy, communication skills, and collaboration at eye level are important.
  • Very good German language skills (at least B2 level).

Skills

  • Python
  • AWS
  • Power BI
  • GitHub
  • REST APIs
  • Machine Learning
  • GenAI
  • SQL
  • Data Warehouse concepts
  • Terraform
  • Infrastructure as Code

Location

  • Central location

Work Type

  • Up to 60% remote work possible
  • Part-time (ideally 19.5 hours/week)

Experience Level

  • Student (Bachelor or Master)

Education Level

  • Bachelor's degree
  • Master's degree

Salary/Compensations

  • 15.00 Euro per hour for Bachelor students
  • 16.00 Euro per hour for Master students
  • Annual special payment

Benefits

  • Subsidized job ticket
  • Modern offices with excellent public transport connections
  • Urban Sports Club membership
  • Opportunity for mobile working (up to 60% remote)
  • Flexible working hours compatible with study schedule

About the Company

  • NOW works for the future of emission-free technologies and sustainable mobility.
  • As a federally owned GmbH, NOW accepts commissions from federal ministries, often involving the implementation and coordination of funding programs.
  • NOW also manages strategic stakeholder processes, shapes international collaborations, and promotes the acceptance of alternative technologies in society.
  • The goal is a climate-neutral society, achieved through innovative technologies and concepts.

Equal Opportunity

  • We welcome applications from people with diverse backgrounds, e.g., regarding age, gender, disability, sexual orientation/identity, as well as social, ethnic, and religious origin.
  • An equitable, diverse, and inclusive work environment where everyone can realize their potential is important to us.