At a Glance
- Tasks: Lead impactful data science projects and create innovative pricing solutions.
- Company: Join E.ON, a leader in the evolving energy industry.
- Benefits: Competitive salary, flexible hybrid working, and opportunities for personal development.
- Other info: Open to internal applicants only; dynamic environment with growth opportunities.
- Why this job: Make a real difference in energy pricing while collaborating with a supportive team.
- Qualifications: 7+ years of data science experience and strong skills in Python and SQL.
The predicted salary is between 43200 - 72000 £ per year.
Principal Data Scientist page is loaded## Principal Data Scientistlocations: London UK: Nottingham UKtime type: Full timeposted on: Posted Todayjob requisition id: JR102916We’re looking for a Principal Data Scientist who is eager to make a real difference, helping shape how we approach pricing in a rapidly evolving energy industry. In this role, you’ll bring your technical strengths together with a collaborative, people-first approach, ensuring your work has a meaningful and lasting impact.You’ll be part of a supportive Commercial Data team, working hand-in-hand with colleagues and stakeholders across the business. By combining deep technical expertise with an open, consultative mindset, you’ll help unlock fresh opportunities, create smarter data-driven solutions and build confidence in the value data science can deliver.**Here’s a taste of what you’ll be doing:*** Guiding data science projects from initial ideas through to delivery, ensuring work is both rigorous and impactful* Partnering with colleagues across functions, listening carefully, and helping them see what’s possible through data science* Translating complex business needs into thoughtful, practical data products that support fairer and more innovative pricing approaches* Applying a wide toolkit of methods – from time-series modelling to neural networks – to answer important business questions* Sharing insights in clear, compelling ways that empower senior decision-makers to act confidently* Coaching and encouraging junior data scientists, creating space for them to grow and shine* Nurturing a culture of collaboration, curiosity, and innovation across the data science community* You have 7+ years of experience as a hands-on Data Scientist* You hold a degree in a quantitative field (e.g. Statistics, Mathematics, Physics, Machine Learning)* You’re confident in Python (production-level) and SQL, and at home with modern ML libraries such as Pandas, scikit-learn, and TensorFlow* You have practical experience with MLOps frameworks and deploying models* You’re skilled at bringing data to life through visualisation, and tools like Tableau feel natural to you* You’re comfortable working with cloud-based architectures and platforms like Databricks or AWS* You understand collaborative coding practices such as Git branching and pull requests* You’re an excellent communicator, able to turn technical results into stories that resonate* You’re motivated, adaptable, and love working in empowered, fast-moving environments**It would be great if you had:*** Experience in the energy retail sector* Familiarity with PySpark* Background in pricing or commercial modelling**Here’s what else you need to know:*** **This role is open exclusively to internal applicants from E.ON UK and E.ON Next*** **Role may close earlier due to high applications*** **Any questions on the role -** please reach out to Eonnext.recruitment@eonnext.com or the hiring manager directly david.bowman@eonnext.com* Competitive salary* Location – **London** with travel to our other sites when required.* Working environment: Flexible hybrid working – a blend of in the office and home working.* We’ve exciting opportunities for everyone to develop their talent at E.ON. Our open access, inclusive talent networks provide networking, learning and development for all, building your skills, qualifications, and capabilities throughout your career. #J-18808-Ljbffr
Principal Data Scientist employer: E.ON Next Energy Limited
Contact Detail:
E.ON Next Energy Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Scientist
✨Tip Number 1
Network like a pro! Reach out to current employees at E.ON through LinkedIn or other platforms. A friendly chat can give you insider info and might just get your application noticed.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Be ready to discuss your experience with Python, SQL, and ML libraries. We want to see how you can apply your knowledge to real-world problems!
✨Tip Number 3
Showcase your collaborative spirit! Think of examples where you've worked with others to solve complex problems. This role is all about teamwork, so let that shine through in your discussions.
✨Tip Number 4
Don’t forget to highlight your communication skills. Being able to turn data into compelling stories is key. Practice explaining your past projects in a way that anyone can understand – it’ll make a big difference!
We think you need these skills to ace Principal Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Principal Data Scientist role. Highlight your technical expertise in Python, SQL, and any relevant projects that showcase your data science prowess.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data science and how you can contribute to our team. Share specific examples of how you've tackled complex problems and made an impact in previous roles.
Showcase Your Communication Skills: Since you'll be translating complex data into actionable insights, it's crucial to demonstrate your ability to communicate effectively. Use clear language and avoid jargon when describing your past projects and achievements.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of success. This way, your application will be processed efficiently, and you'll be one step closer to joining our supportive Commercial Data team!
How to prepare for a job interview at E.ON Next Energy Limited
✨Know Your Data Science Stuff
Make sure you brush up on your technical skills, especially in Python, SQL, and the ML libraries mentioned in the job description. Be ready to discuss your experience with MLOps frameworks and how you've deployed models in the past.
✨Showcase Your Communication Skills
As a Principal Data Scientist, you'll need to translate complex data into compelling stories. Prepare examples of how you've communicated insights to non-technical stakeholders and made data-driven recommendations that led to impactful decisions.
✨Emphasise Collaboration
This role is all about working with others, so be prepared to talk about your experience in collaborative environments. Share instances where you've partnered with colleagues across functions and how you’ve nurtured a culture of curiosity and innovation.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical business problems using data science. Think about how you would approach translating business needs into practical data products, especially in the context of pricing strategies in the energy sector.