Unternehmensprofil
Join the forefront of energy transition with E.ONs Digital Technology organization, as part of our technology in-house consulting, Expert Services. As a professional services organization, we collaborate closely with our business units, providing pivotal services that accelerate E.ONs ambitious Digital Transformation strategy.
Aufgaben
- Driving new Data & AI initiatives in your role as a Data & AI Consultant by collaborating closely with business stakeholders, identifying challenges, and translating them into actionable technical requirements.
- Partnering with data professionals, business analysts, and infrastructure experts to design and deliver scalable data and AI solutions across all E.ON countries with global impact.
- Taking ownership of technical projects, ensuring high data quality, code quality, and that solutions meet specified requirements.
- Maintaining stability and excellence through agile methodologies, peer code reviews, and continuous feedback loops.
- Evaluating emerging data technologies to efficiently integrate state-of-the-art machine learning solutions and analytical modules into operational cloud environments.
- Enhancing efficiency and reducing time-to-market by developing reusable artificial intelligence models.
- Staying up-to-date with the latest advancements in data science, AI, and technology trends to drive innovation.
Anforderungen
- Extended years of experience as a Data Scientist, with a degree or PhD in Computer Science, a related field, or equivalent practical experience.
- Excellent consulting and communication skills, transforming business challenges into actionable data strategies and adapting your messaging for various audiences.
- Strong hands-on coding skills, processing large datasets, time series analysis, optimization algorithms, and building NLP models in Python.
- Expertise in modern ML tools (scikit-learn, XGBoost, DL frameworks) and the ability to validate models and implement scalable pipelines on Spark/Databricks and Azure ML.
- Passion for scientific inquiry and problem-solving through data, combined with a strong motivation to deliver practical solutions that meet business needs.
- Proven hands-on experience in implementing end-to-end data pipelines, encompassing data ingestion to the deployment of analytical models in cloud environments, with expertise in Azure being a notable advantage.
- Comfortable working with Git and CI/CD workflows, and familiarity with Azure DevOps is considered a bonus.
- Experience with visualization tools such as Streamlit or PowerBI is considered an advantage.
Benefits
- Flexible work arrangements: Hybrid work, possibility to work remotely for up to 20 days per year within Europe.
- Comprehensive professional development opportunities: Learning on the job, exchange with others, individual training.
- Generous vacation package: 30 days of paid vacation per year plus Christmas and New Year's Eve off.
- Health and wellness benefits: Company-sponsored health membership.
- Attractive mobility options: Car and bike leasing offers, subsidized Deutschland-Ticket.
- Retirement planning: Company pension scheme and a great insurance package.