Auf einen Blick
- Aufgaben: Lead the green transition by consulting on data and AI solutions for E.ON's digital transformation.
- Arbeitgeber: Join E.ON, a leader in energy transition, driving innovation with over 500 expert consultants.
- Mitarbeitervorteile: Enjoy flexible work options, 30 days vacation, and opportunities for personal and professional growth.
- Warum dieser Job: Make a real impact on sustainability while working with cutting-edge technology and a diverse team.
- Gewünschte Qualifikationen: Experience as a Data Scientist with strong coding skills in Python and familiarity with ML tools required.
- Andere Informationen: Work from various locations in Germany and engage in exciting learning communities.
Das voraussichtliche Gehalt liegt zwischen 54000 - 84000 € pro Jahr.
You have a passion for technology and want to make the world a greener place?
Join the forefront of energy transition with E.ON’s 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.ON’s ambitious Digital Transformation strategy.
If you have a passion for leading the green transition with digital innovation, become a playmaker in our energetic and diverse team of more than 500 Expert Services consultants.
It’s on us to make new energy work!
The Team – your impact
We offer a unique opportunity to combine your passion for technology with meaningful work on socially relevant topics. Become part of our international team of over 130 data scientists and engineers, where you’ll benefit from deep expertise while also contributing your own experience. You will have the opportunity to consult our business stakeholders on technical matters and their feasibility while also directly implementing state-of-the-art machine learning solutions. We leverage a wide range of methodologies, including NLP, computer vision, forecasting, optimization, and many others, across various applications. With a strong focus on cutting-edge resources and platforms (Azure, AWS, Databricks, OpenAI, among many others), we provide an optimal technical infrastructure, along with free training and certification opportunities.
Your Role – meaningful & rewarding
- Collaborating closely with business stakeholders to understand their challenges, translating them into technical requirements, and organizing workshops to align on solutions.
- Partnering with data scientists, 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.
Your Profile – authentic & open-minded
- You have extended years of experience as a Data Scientist, with a degree or PhD in Computer Science, a related field, or equivalent practical experience.
- You excel in consulting and communication, transforming business challenges into actionable data strategies and adapting your messaging for various audiences, particularly in client interactions, presentations, and workshops.
- You excel in hands-on coding, processing large datasets, time series analysis, optimization algorithms, and building NLP models in Python. You’re skilled with modern ML tools (scikit-learn, XGBoost, DL frameworks) and capable of validating models and implementing scalable pipelines on Spark/Databricks and Azure ML.
- You have a passion for scientific inquiry and problem-solving through data, combined with a strong motivation to deliver practical solutions that meet business needs.
- You have 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.
- You are 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.
- You are fluent in English, and German language skills are 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.
Do you have questions?
For further information please contact Sarah Klammer,
Please understand that for data protection reasons we can only accept applications submitted via our portal. Unfortunately, we cannot consider application documents that reach us by email or post.
What you need to know:
Job Req ID: 232976
Contract type: Permanent
Working time: Part or Full time
Company: E.ON Digital Technology GmbH
Location: Essen, Hannover, München, Würzburg, Berlin, Frankfurt am Main, Hamburg
Function area: Data / IoT; Consulting; IT/Digital
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Senior Data Scientist - Data & AI (f/m/d) Arbeitgeber: E.ON Digital Technology
Kontaktperson:
E.ON Digital Technology HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Senior Data Scientist - Data & AI (f/m/d)
✨Tip Number 1
Make sure to showcase your experience with machine learning tools like scikit-learn and XGBoost during your conversations. Highlight specific projects where you've implemented these technologies, as this will resonate well with the team at E.ON.
✨Tip Number 2
Familiarize yourself with E.ON's current digital transformation initiatives and be prepared to discuss how your skills can contribute to their goals. This shows that you're not just interested in the role, but also in the company's mission.
✨Tip Number 3
Prepare to discuss your experience with agile methodologies and how you've used them to maintain high data quality and code quality in past projects. This is crucial for the role and will demonstrate your alignment with their working style.
✨Tip Number 4
If you have experience with Azure DevOps or CI/CD workflows, make sure to bring it up. Even if it's not a primary requirement, showing familiarity with these tools can set you apart from other candidates.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Senior Data Scientist - Data & AI (f/m/d)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the key responsibilities and requirements. Tailor your application to highlight your relevant experience in data science, machine learning, and consulting.
Highlight Technical Skills: Emphasize your hands-on coding experience, especially with Python, and your familiarity with modern ML tools like scikit-learn and XGBoost. Mention any experience you have with Azure, Databricks, and CI/CD workflows.
Showcase Communication Abilities: Since the role involves consulting and collaboration, demonstrate your communication skills. Provide examples of how you've successfully translated business challenges into actionable data strategies in previous roles.
Prepare a Strong Cover Letter: Craft a compelling cover letter that reflects your passion for technology and the green transition. Explain why you want to work at E.ON and how your background aligns with their mission and values.
Wie du dich auf ein Vorstellungsgespräch bei E.ON Digital Technology vorbereitest
✨Show Your Passion for Technology
Make sure to express your enthusiasm for technology and its role in the energy transition. Share specific examples of how you've used technology to solve real-world problems, especially in relation to sustainability.
✨Demonstrate Your Consulting Skills
Prepare to discuss how you've transformed business challenges into actionable data strategies. Use examples from your past experiences where you successfully communicated complex technical concepts to non-technical stakeholders.
✨Highlight Your Technical Expertise
Be ready to dive deep into your hands-on experience with machine learning tools and frameworks. Discuss your familiarity with Python, Azure, and any relevant projects that showcase your ability to implement scalable data solutions.
✨Stay Updated on Industry Trends
Show that you're proactive about staying current with advancements in data science and AI. Mention any recent technologies or methodologies you've explored and how they could be applied to E.ON's goals.