Data Scientist

E.ON Energia S.p.A. | Permanent | Full time | Milano

The new E.ON is one of the strongest operators of European energy networks and energy-related infrastructure, as well as a provider of advanced customer solutions for more than 50 million customers. With a total of over 75,000 employees, we are represented in 15 countries. This makes us ideally positioned to help drive Europe's energy transition. By focusing on two sustainable growth areas fully commits itself to the fundamental transformation of the energy world. As one of Europe’s largest energy service providers we will actively drive the energy transition in Italy and Europe. E.ON is a pioneer in developing new and innovative energy solutions and attract the brightest minds in the energy sector.

For the Data Science team within the Business Analytics and Process Excellence area we are looking for a: Data Scientist

We are seeking a professional with a strong technical orientation and an engineering-driven mindset, passionate about the entire data lifecycle and modern cloud architectures. The ideal candidate possesses solid knowledge of cloud platforms and DevOps methodologies applied to data science projects, with particular attention to automation, scalability, and reproducibility of solutions.

About Us:

The Data Science team, within the Customer Value Management & Data Office, operates with a dual objective: on one hand, managing and enhancing customer base value through strategic initiatives including cross-selling, up-selling, renewal, and retention strategies; on the other hand, providing advanced analytical support to various business units through innovative technical solutions.
In an evolving business environment, our mission is to transform data into information, information into insights, and insights into concrete and effective business decisions.

Main Responsibilities:

• The role involves managing the full data lifecycle in a modern cloud environment, from engineering robust data pipelines to deploying advanced analytics solutions and creating business-facing data products. Specifically:
• Design and implementation of efficient and scalable data pipelines in cloud environments, ETL solutions using modern technologies (eg Azure Data Factory, Databricks Delta Lake)
• Adoption of DevOps methodologies to ensure continuity, versioning, and traceability of analytical projects 
• Development and deployment of analytical models and ML algorithms on cloud platforms (eg Azure ML Service, Databricks MLflow) 
• Experimentation with emerging technologies such as LLMs and generative AI for business use cases
• Creation of interactive dashboards and automated reports with modern tools (Power BI, Databricks Dashboards) 
• Development of APIs and services to make analytical insights accessible to other business applications 

Key Technical Skills:

• Advanced SQL 
• Python with focus on data engineering and ML libraries (pandas, scikit-learn, PySpark highly valued)
• Concrete experience with cloud solutions and related services (eg Microsoft Azure with Azure SQL, Data Factory, Blob Storage, Azure Functions) 
• Familiarity with Databricks architectures (Delta Lake, Spark, MLflow) (highly valued)
• Proficiency with Git and collaboration workflows (branches, pull requests, code review)
• Knowledge of Power BI or equivalent tools for creating effective visualizations

Experience and Education:

• Degree in Computer Science, Data Science, Statistics, Mathematics, or related fields
• 1-3 years of experience in analytical roles with a strong technical component
• Practical experience with at least one end-to-end data science project in a production environment (preferred)
• Relevant certifications in cloud technologies (Azure Data Engineer, Data Scientist, Databricks) are a plus

Do you have questions?

For further information please contact us. If you are convinced that this is the next step in your career, register and apply online (Job Req ID: 236728 ).
Shaping the future of energy together!

What you need to know:

Contract type: Permanent
Working time: Full time
Company: E.ON Energia S.p.A.
Function area: Corporate Development / Strategy; Other Functional Areas