E.ON SE | Permanent | Part or Full time
E.ON is one of Europe's largest operators of energy networks and infrastructure and a provider of innovative energy solutions. Our employees are constantly working to digitise the energy world, achieve net zero and connect everyone to good energy. To achieve this, we are focusing our actions on sustainability, digitalisation and growth. We strongly believe that differences make us stronger and welcome all people into our inclusive and diverse culture.
We are looking for a Data Analyst / Scientist for Audits (w/m/d) to join our E.ON SE team as soon as possible. If you are interested, please directly online.
Our Audit-Tech Team in a nut-shell
We are a small team within the Corporate Audit, the internal unit for audits within the E.ON group. We develop and execute data and process analyses using cutting-edge software in areas such as energy trading, procurement, grids, and sales for all countries where E.ON is active. Additionally, we develop new systems in a start-up style to digitize the "good old audit industry," including the digitalization of the audit workflow, AI assistance, robots for process automatization, and new data analytics tools.
We are looking for you to join our team taking responsibility for:
- Developing and executing data analyses for audits and fraud investigations in close collaboration with auditors/investigators
- Setting up and managing connections to groupwide database systems and data lakes
- Identifying data models of complex processes in various databases and transforming them into datasets for specific analytics
- Setting up and training ML & NLP models for analyzing unstructured/structured data and solving complex business problems
- Digitizing the audit process by automating tasks, integrating AI (AI-audit assistant), developing user interfaces, implementing ML tools, and working on ambitious projects such as fully automated end-to-end auditing
Your capabilities fit perfectly if you have available:
- University Degree: A degree in data science/data analysis, computer science, mathematics, economics, or engineering.
- Python Proficiency: Demonstrated experience using Python for data analysis, including proficiency in essential libraries such as NumPy, Pandas, and others.
- Generative AI Frameworks: Experience in integrating and utilizing Generative AI frameworks within Python workflows.
- Large Language Models (LLM): Expertise in employing Large Language Models, particularly via Python API, for advanced data analysis tasks. Experience in fine-tuning and deploying Generative AI models like GPT for specific audit-related tasks.
- SQL Proficiency: Strong command over SQL, with a focus on extracting and manipulating data from diverse data sources.
- Data Visualization: Experience in utilizing visualization tools such as Power BI, QlikSense or Tableau for insightful data representation.
- Model Deployment: Experience in deploying Generative AI models in production environments for automated audit procedures is a strong plus. Familiarity with Microsoft Power Apps is advantageous.
- SAP Experience: Experience with SAP is considered a valuable asset – not a must - enhancing proficiency in navigating complex enterprise data environments.
- Lastly, we value initiative, enthusiasm for challenging tasks, and a strong team spirit.
We have a strong offer for you: - Numerous opportunities to take on responsibility and make a significant impact in a large company with resources for creating and developing cutting-edge solutions and innovations.
- Competitive payment level of a DAX-40 company, including performance-based bonuses and an attractive employer-financed pension scheme.
- Access to excellent facilities such as a great canteen, barista-based bistro, in-house gym, and more, ensuring a comfortable and enjoyable work environment.
- Professional development opportunities through individual trainings and conference visits, enabling continuous growth and learning.
- Flexible working hours and the option for hybrid working arrangements if needed.
- Generous annual leave of 30 days to promote personal well-being.
Do you have questions?
For further information please contact Evelyne Bongi, evelyne.bongi@eon.com.
Are you already convinced that this is the next step in your career? If yes, we would be happy if you would register and apply online as Data Analyst / Scientist for Audits (w/m/d) (ID 228456).
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