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Weather Data Scientist

Job

  • Level
    Experienced
  • Job Field
    Data
  • Employment Type
    Part Time/Full Time
  • Contract Type
    Permanent employment
  • Location
    Essen
  • Working Model
    Hybrid, Onsite
  • Job Summary

    In this role, you analyze weather data and transform it into clear strategic decisions for trading by verifying models, optimizing data pipelines, and creating comprehensive visualizations.

    Job Technologies

    Your role in the team

    • Are you ready to turn weather insight into real trading impact? At RWE Supply & Trading, you'll be at the heart of an international team of meteorologists and data experts, helping shape decisions that power global energy markets.
    • This opportunity is about more than just analysis - it's about collaborating across disciplines, innovating and transforming complex weather data into clear strategic advantages for our traders.
    • You'll thrive in a high-paced environment with direct influence - your weather assessments will be used immediately to guide our trading positions.
    • Verify and evaluate weather model outputs, ensuring quality and relevance to trading decisions.
    • Visualise and translate complex weather information into actionable insights for trading teams.
    • Build bespoke tools and drive innovation in weather forecasting and analytical processes.
    • Establish, maintain, and optimise robust data pipelines.
    • Communicate technical findings in clear, engaging language to stakeholders, enabling confident action across the organisation.

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    Our expectations of you

    Qualifications

    • Academic or commercial background in weather science or meteorology.
    • Strong quantitative modelling skills, including handling large, complex datasets.
    • Proficient in Python, SQL, and cloud computing platforms.
    • Familiarity with data visualisation platforms.
    • Curiosity-driven approach - always seeking innovative solutions, whether independently or as part of a collaborative team.
    • Ability to take ownership, make informed decisions, and push projects forward with drive and accountability.
    • Collaborative spirit - sharing insights, supporting colleagues, and helping strengthen our collective trading performance.
    • Understanding of, or interest in, global trading business dynamics.
    • What we value most is someone who continuously demonstrates courage, thrives to create impact and seeks to build trusting, collaborative relationships.
    • So, even if you think you do not yet display all of the skills listed above we would still like to hear from you.

    Experience

    • Advantageous, but not essential: Experience in machine learning applications for weather or data science.

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    What we offer

    • We want to ensure your time with us is fulfilling and rewarding.
    • We offer a comprehensive package designed to support your well-being as well as your personal and professional growth.
    • Here's what you can look forward to: The chance to make a tangible impact on key business decisions at the centre of Europe's energy transition.
    • A multicultural, inclusive environment where diverse perspectives drive better outcomes.
    • Opportunities for continuous personal and professional development - grow your career as you innovate with us.
    • Competitive compensation and benefits packages.

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    Benefits

    Work-Life-Integration

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    Job Locations

    • Location Essen

      Nordrhein-Westfalen

      Germany

    This is your employer

    RWE AG

    RWE AG

    RWE AG is an essential part of the European energy system, ensuring security of supply for Europe. With its three operating segments - lignite & nuclear power, European electricity generation from gas, coal, hydropower and biomass, and energy trading - it is one of the leading European energy companies.

    Description

  • Company Size
    250+ Employees
  • Company Type
    Established Company
  • Working Model
    Hybrid, Onsite
  • Industry
    Power Sector, Economy
  • Logo RWE AG

    Weather Data Scientist

    Location
    Essen
    Working Model
    Hybrid, Onsite
    Diversity
    Open for all genders

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