Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Hanover
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop forecasting models for energy prices in Python, deploy them on Azure, and present your analytical results to traders and management using modern BI tools.
Job Technologies
Your role in the team
- As a Data Scientist, you develop forecast models for energy prices and quantities based on time series analysis or machine learning in Python.
- You build the models in the cloud (Azure), evaluate them, automate them, and deploy them to production, e.g., via Azure Machine Learning or MLflow.
- You collect, clean, and transform data from diverse sources - power exchanges, weather services, IoT devices, or internal systems - and use modern tools like Snowflake and dbt to turn it into a structured, usable format.
- By leveraging data-driven models, you support trading decisions, such as through algorithmic trading or the assessment of arbitrage opportunities.
- You prepare your analysis results appropriately for the target audience - whether for traders, management, or IT - and use BI tools to present complex relationships in a clear and understandable manner.
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Our expectations of you
Education
- You hold a completed university or college degree (Master's or Diplom) in Computer Science, Mathematics, Statistics, or an equivalent qualification.
Qualifications
- APIs, database systems, and working with complex data structures are familiar to you from practical experience.
- Time series analysis, statistics, and machine learning are part of your professional toolkit, and you apply them confidently to data-driven questions.
- You communicate confidently in German and English and can explain complex issues clearly.
- You are characterized by independent work, team spirit, and assertiveness. You approach tasks analytically and systematically, and also critically question complex contexts.
Experience
- You have several years of experience as a Data Scientist with solid knowledge of Python and other object-oriented programming languages.
- Ideally, you have experience in the energy industry and are familiar with the specifics of energy trading.
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What we offer
- You work in an innovative environment where data-driven decisions are not only encouraged but actively practiced.
- In our interdisciplinary team, you have the freedom to specifically utilize modern technologies such as machine learning, cloud platforms, and advanced time series analysis—whether for developing forecasting models or supporting trading strategies.
- We place great importance on personal responsibility, practical solutions, and clear communication of complex contexts.
- Whether you prefer to work remotely or in a modern shared-desk office – with us, you'll find the flexibility and technical equipment to make a real impact with your ideas.
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Benefits
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
Enercity AG
As one of the 10 largest and most sustainable energy service providers in Germany, enercity offers you the chance to help shape the energy transition. We are currently undergoing a transformation that is changing our corporate culture drastically.
Description
- Founding Year
- 1826
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Power Sector, Economy
Data Scientist
- Location
- Hanover
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
