Your Role – meaningful & rewarding​

• You team-up with our data scientists, data engineers, business and infrastructure experts to design and develop data/AI-based solutions that can scale and have global impact within the E.ON corporate.
• You stay up-to-date with industry trends and emerging technologies related to data science, architecture and engineering.
• You evaluate new data technologies to efficiently integrate latest machine learning solutions and analytical modules into operational cloud services.
• You increase efficiency and time-to-market by implementing re-usable artificial intelligence models, and data-driven solutions.
• You enhance analytics capabilities by extracting information from diverse sets of structured, unstructured, batch and streaming data
• You ensure high quality and stability through agile processes and peer code reviews
• You share your ideas and can convince to go new ways

Your Profile – authentic & open-minded​

• First professional experience in a data scientist or data engineering role
• Degree/PhD in Computer Science or a related technical discipline
• Hands-on coding experience in Python for large data sets; fluency in other programming languages is a plus
• Knowledge of Machine Learning frameworks like scikit-learn, PyTorch, Azure ML, etc., and experience in time series and statistical data analysis, optimization algorithms, and building models in Python
• Proven experience in building production-grade solutions based on Foundation Models (ex: LLM), including cross-environment evaluation, fine-tuning, agentic patterns, and data integration beyond text and images
• Familiarity with private cloud or on-premise Foundation Model deployments or state-of-the-art processing of image or Lidar data is a plus
• Lean problem-solving mindset with intuition and critical thinking to leverage model registries like Hugging Face and AI tools
• Passion for mathematics, statistics, and problem-solving with a strong motivation to deliver valuable business solutions
• Experience with data transformations in Spark or Databricks is ideal
• Knowledge of implementing end-to-end pipelines in cloud environments like Azure, AWS, or GCP
• Preference for working with git and CI/CD flows; knowledge of Azure DevOps is a plus
• Excellent writing and communication skills, with the ability to adapt style and explanations to the audience
• Enjoys collaborating internationally and across cultural borders
• Fluent in English and German
• Extensive knowledge of the energy industry is a plus
• Experience with visualization tools like Power BI, Graphana, Streamlit is a plus
• Background in consulting is a plus

Our Benefits – smart & useful​

• Enjoy flexibility: You can combine coming to the office and working from home flexibly. It’s even possible to go on workation for up to 20 days per year within Europe.​

• Advance your development: We grow and we want you to grow with us. Learning on the job, exchanging with others, or taking part in an individual training – our learning culture enables you to bring your personal and professional development to the next level.​

• Get connected: Take the opportunity to engage in our Digital Empowerment Communities for collaboration, learning, and network building.​

• Recharge your battery: You have 30 days of paid vacation per year plus Christmas and New Year's Eve off. Your battery still needs charging? You can exchange parts of your salary for more paid vacation or you can take a sabbatical.​

• Elevate your mobility: From car and bike leasing offers to a subsidised Deutschland-Ticket – your way is our way.​

• Think ahead: With our company pension scheme and a great insurance package we take care of your future.​

• This is by far not all… We are looking forward to speaking with you about further benefits during the hiring process.​

Includere

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